1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

Metabolic features abundances
- Must contain features in rows and samples in columns.
- First column must identify features.
Metabolic features annotations
- Must contain features in rows and annotations in columns.
- First column must identify features.
- Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
- Third column must contain the name of the metabolite.
- Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
- Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
Sample metadata
- Must contain samples in rows and metadata in columns.
- First column must identify samples.
- Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
Chemical taxonomy
- First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
- Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
Metabolite name: From column 2 of annotation dataframe.
mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
qvalue: Estimated from multivariate linear model using Maaslin2.
effect_size
Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)

## Loading required package: SummarizedExperiment

## Loading required package: MatrixGenerics

## Loading required package: matrixStats

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## Attaching package: 'MatrixGenerics'

## The following objects are masked from 'package:matrixStats':
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##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
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## Attaching package: 'S4Vectors'

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## Attaching package: 'Biobase'

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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)

## 2025-04-15 19:02:28.300922 INFO::Creating output folder.
## 2025-04-15 19:02:28.314097 INFO::Writing function arguments to log file

## Samples with both abundances and metadata: 102

## 2025-04-15 19:02:28.377229 INFO::Summarized Experiment created.
## 2025-04-15 19:02:28.37883 INFO::Metadata chosen for prevalence filtering: diagnosis

## 869 features pass chosen minimum prevalence threshold of 0.7.

## Calculating pairwise correlations in phenotype: IBD

##

## Calculating pairwise correlations in phenotype: Control

## Distance matrix with 869 features created.

## 2025-04-15 19:02:32.820893 INFO::Distance matrix with 869 metabolic features created.

## Initiating module detection

## 2025-04-15 19:02:32.822315 INFO::Minimum module size used for this dataset: 10

## Tree constructed

## Evaluating measures of success

##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2025-04-15 19:02:34.1937 INFO::Total number of modules detected: 30

## Initiating AVA calculations

## Finding anchors

## Calculating AVA

## Initiating q-value calculations

## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2025-04-15 19:02:36.291983 INFO::Writing function arguments to log file
## 2025-04-15 19:02:36.297064 INFO::Verifying options selected are valid
## 2025-04-15 19:02:36.338101 INFO::Determining format of input files
## 2025-04-15 19:02:36.339143 INFO::Input format is data samples as columns and metadata samples as rows
## 2025-04-15 19:02:36.354014 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2025-04-15 19:02:36.355406 INFO::Filter data based on min abundance and min prevalence
## 2025-04-15 19:02:36.356083 INFO::Total samples in data: 102
## 2025-04-15 19:02:36.356699 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2025-04-15 19:02:36.36806 INFO::Total filtered features: 0
## 2025-04-15 19:02:36.368984 INFO::Filtered feature names from abundance and prevalence filtering:
## 2025-04-15 19:02:36.385955 INFO::Total filtered features with variance filtering: 0
## 2025-04-15 19:02:36.386967 INFO::Filtered feature names from variance filtering:
## 2025-04-15 19:02:36.387616 INFO::Running selected normalization method: NONE
## 2025-04-15 19:02:36.388285 INFO::Applying z-score to standardize continuous metadata
## 2025-04-15 19:02:36.408961 INFO::Running selected transform method: NONE
## 2025-04-15 19:02:36.409832 INFO::Running selected analysis method: LM
## 2025-04-15 19:02:36.414878 INFO::Fitting model to feature number 1, F1
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## 2025-04-15 19:02:36.950331 INFO::Fitting model to feature number 160, F166
## 2025-04-15 19:02:36.953672 INFO::Fitting model to feature number 161, F167
## 2025-04-15 19:02:36.956985 INFO::Fitting model to feature number 162, F168
## 2025-04-15 19:02:36.96029 INFO::Fitting model to feature number 163, F169
## 2025-04-15 19:02:36.963512 INFO::Fitting model to feature number 164, F170
## 2025-04-15 19:02:36.966875 INFO::Fitting model to feature number 165, F171
## 2025-04-15 19:02:36.970245 INFO::Fitting model to feature number 166, F172
## 2025-04-15 19:02:36.973657 INFO::Fitting model to feature number 167, F173
## 2025-04-15 19:02:36.977021 INFO::Fitting model to feature number 168, F174
## 2025-04-15 19:02:36.980297 INFO::Fitting model to feature number 169, F175
## 2025-04-15 19:02:36.983521 INFO::Fitting model to feature number 170, F176
## 2025-04-15 19:02:36.986927 INFO::Fitting model to feature number 171, F177
## 2025-04-15 19:02:37.039821 INFO::Fitting model to feature number 172, F178
## 2025-04-15 19:02:37.043899 INFO::Fitting model to feature number 173, F179
## 2025-04-15 19:02:37.047637 INFO::Fitting model to feature number 174, F180
## 2025-04-15 19:02:37.051237 INFO::Fitting model to feature number 175, F181
## 2025-04-15 19:02:37.05474 INFO::Fitting model to feature number 176, F182
## 2025-04-15 19:02:37.058149 INFO::Fitting model to feature number 177, F183
## 2025-04-15 19:02:37.061529 INFO::Fitting model to feature number 178, F184
## 2025-04-15 19:02:37.064837 INFO::Fitting model to feature number 179, F185
## 2025-04-15 19:02:37.068153 INFO::Fitting model to feature number 180, F186
## 2025-04-15 19:02:37.071476 INFO::Fitting model to feature number 181, F187
## 2025-04-15 19:02:37.074764 INFO::Fitting model to feature number 182, F188
## 2025-04-15 19:02:37.078027 INFO::Fitting model to feature number 183, F189
## 2025-04-15 19:02:37.081198 INFO::Fitting model to feature number 184, F190
## 2025-04-15 19:02:37.08445 INFO::Fitting model to feature number 185, F191
## 2025-04-15 19:02:37.087713 INFO::Fitting model to feature number 186, F192
## 2025-04-15 19:02:37.090953 INFO::Fitting model to feature number 187, F193
## 2025-04-15 19:02:37.094191 INFO::Fitting model to feature number 188, F194
## 2025-04-15 19:02:37.097427 INFO::Fitting model to feature number 189, F195
## 2025-04-15 19:02:37.100714 INFO::Fitting model to feature number 190, F196
## 2025-04-15 19:02:37.10396 INFO::Fitting model to feature number 191, F197
## 2025-04-15 19:02:37.107127 INFO::Fitting model to feature number 192, F198
## 2025-04-15 19:02:37.110362 INFO::Fitting model to feature number 193, F199
## 2025-04-15 19:02:37.113572 INFO::Fitting model to feature number 194, F200
## 2025-04-15 19:02:37.116795 INFO::Fitting model to feature number 195, F201
## 2025-04-15 19:02:37.119998 INFO::Fitting model to feature number 196, F202
## 2025-04-15 19:02:37.123138 INFO::Fitting model to feature number 197, F203
## 2025-04-15 19:02:37.126331 INFO::Fitting model to feature number 198, F204
## 2025-04-15 19:02:37.129548 INFO::Fitting model to feature number 199, F206
## 2025-04-15 19:02:37.13278 INFO::Fitting model to feature number 200, F207
## 2025-04-15 19:02:37.13598 INFO::Fitting model to feature number 201, F208
## 2025-04-15 19:02:37.139178 INFO::Fitting model to feature number 202, F209
## 2025-04-15 19:02:37.142387 INFO::Fitting model to feature number 203, F210
## 2025-04-15 19:02:37.145604 INFO::Fitting model to feature number 204, F211
## 2025-04-15 19:02:37.148823 INFO::Fitting model to feature number 205, F212
## 2025-04-15 19:02:37.152054 INFO::Fitting model to feature number 206, F213
## 2025-04-15 19:02:37.155311 INFO::Fitting model to feature number 207, F214
## 2025-04-15 19:02:37.158581 INFO::Fitting model to feature number 208, F215
## 2025-04-15 19:02:37.16184 INFO::Fitting model to feature number 209, F216
## 2025-04-15 19:02:37.165086 INFO::Fitting model to feature number 210, F217
## 2025-04-15 19:02:37.168337 INFO::Fitting model to feature number 211, F218
## 2025-04-15 19:02:37.171546 INFO::Fitting model to feature number 212, F219
## 2025-04-15 19:02:37.174792 INFO::Fitting model to feature number 213, F220
## 2025-04-15 19:02:37.178033 INFO::Fitting model to feature number 214, F221
## 2025-04-15 19:02:37.181272 INFO::Fitting model to feature number 215, F222
## 2025-04-15 19:02:37.18456 INFO::Fitting model to feature number 216, F223
## 2025-04-15 19:02:37.187812 INFO::Fitting model to feature number 217, F224
## 2025-04-15 19:02:37.191065 INFO::Fitting model to feature number 218, F225
## 2025-04-15 19:02:37.19432 INFO::Fitting model to feature number 219, F226
## 2025-04-15 19:02:37.197582 INFO::Fitting model to feature number 220, F227
## 2025-04-15 19:02:37.20089 INFO::Fitting model to feature number 221, F228
## 2025-04-15 19:02:37.204185 INFO::Fitting model to feature number 222, F229
## 2025-04-15 19:02:37.20747 INFO::Fitting model to feature number 223, F230
## 2025-04-15 19:02:37.210779 INFO::Fitting model to feature number 224, F231
## 2025-04-15 19:02:37.214068 INFO::Fitting model to feature number 225, F232
## 2025-04-15 19:02:37.21735 INFO::Fitting model to feature number 226, F233
## 2025-04-15 19:02:37.220649 INFO::Fitting model to feature number 227, F234
## 2025-04-15 19:02:37.223958 INFO::Fitting model to feature number 228, F235
## 2025-04-15 19:02:37.227171 INFO::Fitting model to feature number 229, F236
## 2025-04-15 19:02:37.230474 INFO::Fitting model to feature number 230, F237
## 2025-04-15 19:02:37.233756 INFO::Fitting model to feature number 231, F238
## 2025-04-15 19:02:37.237009 INFO::Fitting model to feature number 232, F239
## 2025-04-15 19:02:37.24032 INFO::Fitting model to feature number 233, F240
## 2025-04-15 19:02:37.24363 INFO::Fitting model to feature number 234, F241
## 2025-04-15 19:02:37.246938 INFO::Fitting model to feature number 235, F242
## 2025-04-15 19:02:37.250256 INFO::Fitting model to feature number 236, F243
## 2025-04-15 19:02:37.2535 INFO::Fitting model to feature number 237, F244
## 2025-04-15 19:02:37.256856 INFO::Fitting model to feature number 238, F245
## 2025-04-15 19:02:37.260144 INFO::Fitting model to feature number 239, F246
## 2025-04-15 19:02:37.263424 INFO::Fitting model to feature number 240, F247
## 2025-04-15 19:02:37.266694 INFO::Fitting model to feature number 241, F248
## 2025-04-15 19:02:37.269977 INFO::Fitting model to feature number 242, F249
## 2025-04-15 19:02:37.273295 INFO::Fitting model to feature number 243, F250
## 2025-04-15 19:02:37.27666 INFO::Fitting model to feature number 244, F252
## 2025-04-15 19:02:37.280027 INFO::Fitting model to feature number 245, F253
## 2025-04-15 19:02:37.283324 INFO::Fitting model to feature number 246, F254
## 2025-04-15 19:02:37.286607 INFO::Fitting model to feature number 247, F255
## 2025-04-15 19:02:37.289942 INFO::Fitting model to feature number 248, F256
## 2025-04-15 19:02:37.293235 INFO::Fitting model to feature number 249, F257
## 2025-04-15 19:02:37.296501 INFO::Fitting model to feature number 250, F259
## 2025-04-15 19:02:37.299704 INFO::Fitting model to feature number 251, F260
## 2025-04-15 19:02:37.302984 INFO::Fitting model to feature number 252, F261
## 2025-04-15 19:02:37.306271 INFO::Fitting model to feature number 253, F262
## 2025-04-15 19:02:37.309537 INFO::Fitting model to feature number 254, F263
## 2025-04-15 19:02:37.312813 INFO::Fitting model to feature number 255, F264
## 2025-04-15 19:02:37.316079 INFO::Fitting model to feature number 256, F265
## 2025-04-15 19:02:37.31935 INFO::Fitting model to feature number 257, F266
## 2025-04-15 19:02:37.322598 INFO::Fitting model to feature number 258, F267
## 2025-04-15 19:02:37.325892 INFO::Fitting model to feature number 259, F269
## 2025-04-15 19:02:37.329188 INFO::Fitting model to feature number 260, F270
## 2025-04-15 19:02:37.332502 INFO::Fitting model to feature number 261, F271
## 2025-04-15 19:02:37.3358 INFO::Fitting model to feature number 262, F272
## 2025-04-15 19:02:37.339083 INFO::Fitting model to feature number 263, F273
## 2025-04-15 19:02:37.342373 INFO::Fitting model to feature number 264, F274
## 2025-04-15 19:02:37.345684 INFO::Fitting model to feature number 265, F276
## 2025-04-15 19:02:37.348969 INFO::Fitting model to feature number 266, F277
## 2025-04-15 19:02:37.352207 INFO::Fitting model to feature number 267, F278
## 2025-04-15 19:02:37.35547 INFO::Fitting model to feature number 268, F279
## 2025-04-15 19:02:37.358784 INFO::Fitting model to feature number 269, F280
## 2025-04-15 19:02:37.362074 INFO::Fitting model to feature number 270, F281
## 2025-04-15 19:02:37.365326 INFO::Fitting model to feature number 271, F282
## 2025-04-15 19:02:37.368595 INFO::Fitting model to feature number 272, F283
## 2025-04-15 19:02:37.371873 INFO::Fitting model to feature number 273, F284
## 2025-04-15 19:02:37.375141 INFO::Fitting model to feature number 274, F285
## 2025-04-15 19:02:37.37841 INFO::Fitting model to feature number 275, F286
## 2025-04-15 19:02:37.381695 INFO::Fitting model to feature number 276, F287
## 2025-04-15 19:02:37.384985 INFO::Fitting model to feature number 277, F288
## 2025-04-15 19:02:37.388254 INFO::Fitting model to feature number 278, F289
## 2025-04-15 19:02:37.391439 INFO::Fitting model to feature number 279, F290
## 2025-04-15 19:02:37.394634 INFO::Fitting model to feature number 280, F292
## 2025-04-15 19:02:37.39789 INFO::Fitting model to feature number 281, F293
## 2025-04-15 19:02:37.401136 INFO::Fitting model to feature number 282, F294
## 2025-04-15 19:02:37.404373 INFO::Fitting model to feature number 283, F295
## 2025-04-15 19:02:37.407702 INFO::Fitting model to feature number 284, F296
## 2025-04-15 19:02:37.410956 INFO::Fitting model to feature number 285, F297
## 2025-04-15 19:02:37.414205 INFO::Fitting model to feature number 286, F298
## 2025-04-15 19:02:37.417457 INFO::Fitting model to feature number 287, F299
## 2025-04-15 19:02:37.420705 INFO::Fitting model to feature number 288, F300
## 2025-04-15 19:02:37.431685 INFO::Fitting model to feature number 289, F301
## 2025-04-15 19:02:37.436184 INFO::Fitting model to feature number 290, F302
## 2025-04-15 19:02:37.43959 INFO::Fitting model to feature number 291, F303
## 2025-04-15 19:02:37.442952 INFO::Fitting model to feature number 292, F304
## 2025-04-15 19:02:37.446284 INFO::Fitting model to feature number 293, F305
## 2025-04-15 19:02:37.449582 INFO::Fitting model to feature number 294, F306
## 2025-04-15 19:02:37.452922 INFO::Fitting model to feature number 295, F307
## 2025-04-15 19:02:37.456229 INFO::Fitting model to feature number 296, F308
## 2025-04-15 19:02:37.459569 INFO::Fitting model to feature number 297, F309
## 2025-04-15 19:02:37.462845 INFO::Fitting model to feature number 298, F310
## 2025-04-15 19:02:37.46615 INFO::Fitting model to feature number 299, F311
## 2025-04-15 19:02:37.469425 INFO::Fitting model to feature number 300, F312
## 2025-04-15 19:02:37.472707 INFO::Fitting model to feature number 301, F313
## 2025-04-15 19:02:37.476018 INFO::Fitting model to feature number 302, F315
## 2025-04-15 19:02:37.479349 INFO::Fitting model to feature number 303, F316
## 2025-04-15 19:02:37.482667 INFO::Fitting model to feature number 304, F317
## 2025-04-15 19:02:37.485966 INFO::Fitting model to feature number 305, F318
## 2025-04-15 19:02:37.489225 INFO::Fitting model to feature number 306, F319
## 2025-04-15 19:02:37.492488 INFO::Fitting model to feature number 307, F320
## 2025-04-15 19:02:37.495731 INFO::Fitting model to feature number 308, F321
## 2025-04-15 19:02:37.498969 INFO::Fitting model to feature number 309, F322
## 2025-04-15 19:02:37.502165 INFO::Fitting model to feature number 310, F323
## 2025-04-15 19:02:37.505427 INFO::Fitting model to feature number 311, F324
## 2025-04-15 19:02:37.508702 INFO::Fitting model to feature number 312, F325
## 2025-04-15 19:02:37.511893 INFO::Fitting model to feature number 313, F326
## 2025-04-15 19:02:37.515155 INFO::Fitting model to feature number 314, F327
## 2025-04-15 19:02:37.518492 INFO::Fitting model to feature number 315, F328
## 2025-04-15 19:02:37.521798 INFO::Fitting model to feature number 316, F329
## 2025-04-15 19:02:37.525087 INFO::Fitting model to feature number 317, F330
## 2025-04-15 19:02:37.528397 INFO::Fitting model to feature number 318, F331
## 2025-04-15 19:02:37.531698 INFO::Fitting model to feature number 319, F332
## 2025-04-15 19:02:37.534998 INFO::Fitting model to feature number 320, F333
## 2025-04-15 19:02:37.538505 INFO::Fitting model to feature number 321, F334
## 2025-04-15 19:02:37.542357 INFO::Fitting model to feature number 322, F335
## 2025-04-15 19:02:37.546436 INFO::Fitting model to feature number 323, F336
## 2025-04-15 19:02:37.550625 INFO::Fitting model to feature number 324, F337
## 2025-04-15 19:02:37.554016 INFO::Fitting model to feature number 325, F338
## 2025-04-15 19:02:37.557427 INFO::Fitting model to feature number 326, F339
## 2025-04-15 19:02:37.560812 INFO::Fitting model to feature number 327, F340
## 2025-04-15 19:02:37.564165 INFO::Fitting model to feature number 328, F342
## 2025-04-15 19:02:37.56753 INFO::Fitting model to feature number 329, F343
## 2025-04-15 19:02:37.570918 INFO::Fitting model to feature number 330, F344
## 2025-04-15 19:02:37.574335 INFO::Fitting model to feature number 331, F345
## 2025-04-15 19:02:37.577748 INFO::Fitting model to feature number 332, F346
## 2025-04-15 19:02:37.581142 INFO::Fitting model to feature number 333, F347
## 2025-04-15 19:02:37.584517 INFO::Fitting model to feature number 334, F348
## 2025-04-15 19:02:37.587927 INFO::Fitting model to feature number 335, F350
## 2025-04-15 19:02:37.591322 INFO::Fitting model to feature number 336, F351
## 2025-04-15 19:02:37.594695 INFO::Fitting model to feature number 337, F352
## 2025-04-15 19:02:37.598044 INFO::Fitting model to feature number 338, F353
## 2025-04-15 19:02:37.601446 INFO::Fitting model to feature number 339, F355
## 2025-04-15 19:02:37.604842 INFO::Fitting model to feature number 340, F356
## 2025-04-15 19:02:37.608262 INFO::Fitting model to feature number 341, F357
## 2025-04-15 19:02:37.611693 INFO::Fitting model to feature number 342, F358
## 2025-04-15 19:02:37.61513 INFO::Fitting model to feature number 343, F359
## 2025-04-15 19:02:37.618559 INFO::Fitting model to feature number 344, F360
## 2025-04-15 19:02:37.621904 INFO::Fitting model to feature number 345, F361
## 2025-04-15 19:02:37.625312 INFO::Fitting model to feature number 346, F362
## 2025-04-15 19:02:37.628773 INFO::Fitting model to feature number 347, F363
## 2025-04-15 19:02:37.632254 INFO::Fitting model to feature number 348, F364
## 2025-04-15 19:02:37.635732 INFO::Fitting model to feature number 349, F365
## 2025-04-15 19:02:37.639132 INFO::Fitting model to feature number 350, F366
## 2025-04-15 19:02:37.642533 INFO::Fitting model to feature number 351, F367
## 2025-04-15 19:02:37.645928 INFO::Fitting model to feature number 352, F368
## 2025-04-15 19:02:37.649312 INFO::Fitting model to feature number 353, F369
## 2025-04-15 19:02:37.652647 INFO::Fitting model to feature number 354, F370
## 2025-04-15 19:02:37.656051 INFO::Fitting model to feature number 355, F371
## 2025-04-15 19:02:37.659454 INFO::Fitting model to feature number 356, F372
## 2025-04-15 19:02:37.662872 INFO::Fitting model to feature number 357, F373
## 2025-04-15 19:02:37.666241 INFO::Fitting model to feature number 358, F374
## 2025-04-15 19:02:37.669574 INFO::Fitting model to feature number 359, F375
## 2025-04-15 19:02:37.672837 INFO::Fitting model to feature number 360, F376
## 2025-04-15 19:02:37.676155 INFO::Fitting model to feature number 361, F377
## 2025-04-15 19:02:37.679473 INFO::Fitting model to feature number 362, F378
## 2025-04-15 19:02:37.68279 INFO::Fitting model to feature number 363, F379
## 2025-04-15 19:02:37.686127 INFO::Fitting model to feature number 364, F380
## 2025-04-15 19:02:37.689449 INFO::Fitting model to feature number 365, F381
## 2025-04-15 19:02:37.692744 INFO::Fitting model to feature number 366, F382
## 2025-04-15 19:02:37.696104 INFO::Fitting model to feature number 367, F383
## 2025-04-15 19:02:37.699491 INFO::Fitting model to feature number 368, F384
## 2025-04-15 19:02:37.702927 INFO::Fitting model to feature number 369, F386
## 2025-04-15 19:02:37.706327 INFO::Fitting model to feature number 370, F387
## 2025-04-15 19:02:37.709703 INFO::Fitting model to feature number 371, F388
## 2025-04-15 19:02:37.713099 INFO::Fitting model to feature number 372, F389
## 2025-04-15 19:02:37.716435 INFO::Fitting model to feature number 373, F390
## 2025-04-15 19:02:37.719778 INFO::Fitting model to feature number 374, F391
## 2025-04-15 19:02:37.723133 INFO::Fitting model to feature number 375, F392
## 2025-04-15 19:02:37.726469 INFO::Fitting model to feature number 376, F393
## 2025-04-15 19:02:37.729821 INFO::Fitting model to feature number 377, F394
## 2025-04-15 19:02:37.733162 INFO::Fitting model to feature number 378, F395
## 2025-04-15 19:02:37.736513 INFO::Fitting model to feature number 379, F396
## 2025-04-15 19:02:37.739886 INFO::Fitting model to feature number 380, F397
## 2025-04-15 19:02:37.743173 INFO::Fitting model to feature number 381, F398
## 2025-04-15 19:02:37.74651 INFO::Fitting model to feature number 382, F399
## 2025-04-15 19:02:37.749872 INFO::Fitting model to feature number 383, F400
## 2025-04-15 19:02:37.753189 INFO::Fitting model to feature number 384, F401
## 2025-04-15 19:02:37.756437 INFO::Fitting model to feature number 385, F402
## 2025-04-15 19:02:37.759752 INFO::Fitting model to feature number 386, F403
## 2025-04-15 19:02:37.763048 INFO::Fitting model to feature number 387, F404
## 2025-04-15 19:02:37.766358 INFO::Fitting model to feature number 388, F406
## 2025-04-15 19:02:37.76967 INFO::Fitting model to feature number 389, F407
## 2025-04-15 19:02:37.772988 INFO::Fitting model to feature number 390, F408
## 2025-04-15 19:02:37.776318 INFO::Fitting model to feature number 391, F409
## 2025-04-15 19:02:37.779684 INFO::Fitting model to feature number 392, F410
## 2025-04-15 19:02:37.783037 INFO::Fitting model to feature number 393, F411
## 2025-04-15 19:02:37.786429 INFO::Fitting model to feature number 394, F412
## 2025-04-15 19:02:37.789843 INFO::Fitting model to feature number 395, F413
## 2025-04-15 19:02:37.793221 INFO::Fitting model to feature number 396, F414
## 2025-04-15 19:02:37.796714 INFO::Fitting model to feature number 397, F415
## 2025-04-15 19:02:37.800167 INFO::Fitting model to feature number 398, F416
## 2025-04-15 19:02:37.803664 INFO::Fitting model to feature number 399, F417
## 2025-04-15 19:02:37.807098 INFO::Fitting model to feature number 400, F418
## 2025-04-15 19:02:37.810521 INFO::Fitting model to feature number 401, F419
## 2025-04-15 19:02:37.813956 INFO::Fitting model to feature number 402, F420
## 2025-04-15 19:02:37.817397 INFO::Fitting model to feature number 403, F421
## 2025-04-15 19:02:37.820877 INFO::Fitting model to feature number 404, F422
## 2025-04-15 19:02:37.824339 INFO::Fitting model to feature number 405, F423
## 2025-04-15 19:02:37.827814 INFO::Fitting model to feature number 406, F425
## 2025-04-15 19:02:37.83129 INFO::Fitting model to feature number 407, F426
## 2025-04-15 19:02:37.834772 INFO::Fitting model to feature number 408, F428
## 2025-04-15 19:02:37.838235 INFO::Fitting model to feature number 409, F429
## 2025-04-15 19:02:37.841663 INFO::Fitting model to feature number 410, F430
## 2025-04-15 19:02:37.845073 INFO::Fitting model to feature number 411, F431
## 2025-04-15 19:02:37.848479 INFO::Fitting model to feature number 412, F432
## 2025-04-15 19:02:37.851889 INFO::Fitting model to feature number 413, F433
## 2025-04-15 19:02:37.855255 INFO::Fitting model to feature number 414, F434
## 2025-04-15 19:02:37.858608 INFO::Fitting model to feature number 415, F435
## 2025-04-15 19:02:37.86195 INFO::Fitting model to feature number 416, F436
## 2025-04-15 19:02:37.865296 INFO::Fitting model to feature number 417, F437
## 2025-04-15 19:02:37.868673 INFO::Fitting model to feature number 418, F438
## 2025-04-15 19:02:37.872147 INFO::Fitting model to feature number 419, F439
## 2025-04-15 19:02:37.87575 INFO::Fitting model to feature number 420, F440
## 2025-04-15 19:02:37.879292 INFO::Fitting model to feature number 421, F441
## 2025-04-15 19:02:37.882793 INFO::Fitting model to feature number 422, F442
## 2025-04-15 19:02:37.886236 INFO::Fitting model to feature number 423, F443
## 2025-04-15 19:02:37.889641 INFO::Fitting model to feature number 424, F444
## 2025-04-15 19:02:37.893 INFO::Fitting model to feature number 425, F445
## 2025-04-15 19:02:37.896341 INFO::Fitting model to feature number 426, F446
## 2025-04-15 19:02:37.899602 INFO::Fitting model to feature number 427, F447
## 2025-04-15 19:02:37.902942 INFO::Fitting model to feature number 428, F448
## 2025-04-15 19:02:37.906275 INFO::Fitting model to feature number 429, F449
## 2025-04-15 19:02:37.909626 INFO::Fitting model to feature number 430, F450
## 2025-04-15 19:02:37.912991 INFO::Fitting model to feature number 431, F451
## 2025-04-15 19:02:37.916353 INFO::Fitting model to feature number 432, F452
## 2025-04-15 19:02:37.919737 INFO::Fitting model to feature number 433, F454
## 2025-04-15 19:02:37.923111 INFO::Fitting model to feature number 434, F455
## 2025-04-15 19:02:37.926437 INFO::Fitting model to feature number 435, F456
## 2025-04-15 19:02:37.929837 INFO::Fitting model to feature number 436, F457
## 2025-04-15 19:02:37.933253 INFO::Fitting model to feature number 437, F458
## 2025-04-15 19:02:37.936649 INFO::Fitting model to feature number 438, F459
## 2025-04-15 19:02:37.940024 INFO::Fitting model to feature number 439, F461
## 2025-04-15 19:02:37.943481 INFO::Fitting model to feature number 440, F462
## 2025-04-15 19:02:37.947002 INFO::Fitting model to feature number 441, F463
## 2025-04-15 19:02:37.950463 INFO::Fitting model to feature number 442, F464
## 2025-04-15 19:02:37.95394 INFO::Fitting model to feature number 443, F465
## 2025-04-15 19:02:37.957315 INFO::Fitting model to feature number 444, F466
## 2025-04-15 19:02:37.960778 INFO::Fitting model to feature number 445, F467
## 2025-04-15 19:02:37.964241 INFO::Fitting model to feature number 446, F468
## 2025-04-15 19:02:37.967721 INFO::Fitting model to feature number 447, F469
## 2025-04-15 19:02:37.971226 INFO::Fitting model to feature number 448, F470
## 2025-04-15 19:02:37.974705 INFO::Fitting model to feature number 449, F471
## 2025-04-15 19:02:37.978173 INFO::Fitting model to feature number 450, F474
## 2025-04-15 19:02:37.981626 INFO::Fitting model to feature number 451, F475
## 2025-04-15 19:02:37.985139 INFO::Fitting model to feature number 452, F476
## 2025-04-15 19:02:37.988543 INFO::Fitting model to feature number 453, F477
## 2025-04-15 19:02:37.991989 INFO::Fitting model to feature number 454, F478
## 2025-04-15 19:02:37.995297 INFO::Fitting model to feature number 455, F479
## 2025-04-15 19:02:37.998651 INFO::Fitting model to feature number 456, F480
## 2025-04-15 19:02:38.001994 INFO::Fitting model to feature number 457, F481
## 2025-04-15 19:02:38.005322 INFO::Fitting model to feature number 458, F482
## 2025-04-15 19:02:38.008619 INFO::Fitting model to feature number 459, F483
## 2025-04-15 19:02:38.011922 INFO::Fitting model to feature number 460, F484
## 2025-04-15 19:02:38.015218 INFO::Fitting model to feature number 461, F485
## 2025-04-15 19:02:38.01846 INFO::Fitting model to feature number 462, F486
## 2025-04-15 19:02:38.021716 INFO::Fitting model to feature number 463, F487
## 2025-04-15 19:02:38.025021 INFO::Fitting model to feature number 464, F488
## 2025-04-15 19:02:38.055752 INFO::Fitting model to feature number 465, F489
## 2025-04-15 19:02:38.059353 INFO::Fitting model to feature number 466, F490
## 2025-04-15 19:02:38.062817 INFO::Fitting model to feature number 467, F491
## 2025-04-15 19:02:38.066231 INFO::Fitting model to feature number 468, F492
## 2025-04-15 19:02:38.069601 INFO::Fitting model to feature number 469, F493
## 2025-04-15 19:02:38.072978 INFO::Fitting model to feature number 470, F494
## 2025-04-15 19:02:38.076323 INFO::Fitting model to feature number 471, F495
## 2025-04-15 19:02:38.079665 INFO::Fitting model to feature number 472, F496
## 2025-04-15 19:02:38.082948 INFO::Fitting model to feature number 473, F497
## 2025-04-15 19:02:38.086254 INFO::Fitting model to feature number 474, F498
## 2025-04-15 19:02:38.089585 INFO::Fitting model to feature number 475, F499
## 2025-04-15 19:02:38.092908 INFO::Fitting model to feature number 476, F500
## 2025-04-15 19:02:38.096194 INFO::Fitting model to feature number 477, F501
## 2025-04-15 19:02:38.099501 INFO::Fitting model to feature number 478, F502
## 2025-04-15 19:02:38.102811 INFO::Fitting model to feature number 479, F503
## 2025-04-15 19:02:38.106071 INFO::Fitting model to feature number 480, F504
## 2025-04-15 19:02:38.109257 INFO::Fitting model to feature number 481, F505
## 2025-04-15 19:02:38.112463 INFO::Fitting model to feature number 482, F506
## 2025-04-15 19:02:38.11575 INFO::Fitting model to feature number 483, F507
## 2025-04-15 19:02:38.119002 INFO::Fitting model to feature number 484, F508
## 2025-04-15 19:02:38.122298 INFO::Fitting model to feature number 485, F509
## 2025-04-15 19:02:38.125528 INFO::Fitting model to feature number 486, F510
## 2025-04-15 19:02:38.128812 INFO::Fitting model to feature number 487, F511
## 2025-04-15 19:02:38.132006 INFO::Fitting model to feature number 488, F512
## 2025-04-15 19:02:38.135246 INFO::Fitting model to feature number 489, F513
## 2025-04-15 19:02:38.138488 INFO::Fitting model to feature number 490, F514
## 2025-04-15 19:02:38.141755 INFO::Fitting model to feature number 491, F515
## 2025-04-15 19:02:38.145027 INFO::Fitting model to feature number 492, F516
## 2025-04-15 19:02:38.148264 INFO::Fitting model to feature number 493, F517
## 2025-04-15 19:02:38.15152 INFO::Fitting model to feature number 494, F518
## 2025-04-15 19:02:38.154741 INFO::Fitting model to feature number 495, F519
## 2025-04-15 19:02:38.158017 INFO::Fitting model to feature number 496, F520
## 2025-04-15 19:02:38.161281 INFO::Fitting model to feature number 497, F521
## 2025-04-15 19:02:38.164541 INFO::Fitting model to feature number 498, F522
## 2025-04-15 19:02:38.167825 INFO::Fitting model to feature number 499, F523
## 2025-04-15 19:02:38.17112 INFO::Fitting model to feature number 500, F524
## 2025-04-15 19:02:38.1744 INFO::Fitting model to feature number 501, F525
## 2025-04-15 19:02:38.177694 INFO::Fitting model to feature number 502, F526
## 2025-04-15 19:02:38.180976 INFO::Fitting model to feature number 503, F527
## 2025-04-15 19:02:38.184194 INFO::Fitting model to feature number 504, F528
## 2025-04-15 19:02:38.187482 INFO::Fitting model to feature number 505, F529
## 2025-04-15 19:02:38.190708 INFO::Fitting model to feature number 506, F530
## 2025-04-15 19:02:38.194002 INFO::Fitting model to feature number 507, F531
## 2025-04-15 19:02:38.197305 INFO::Fitting model to feature number 508, F532
## 2025-04-15 19:02:38.200596 INFO::Fitting model to feature number 509, F533
## 2025-04-15 19:02:38.203874 INFO::Fitting model to feature number 510, F534
## 2025-04-15 19:02:38.207187 INFO::Fitting model to feature number 511, F535
## 2025-04-15 19:02:38.210492 INFO::Fitting model to feature number 512, F536
## 2025-04-15 19:02:38.213793 INFO::Fitting model to feature number 513, F537
## 2025-04-15 19:02:38.217106 INFO::Fitting model to feature number 514, F539
## 2025-04-15 19:02:38.22035 INFO::Fitting model to feature number 515, F540
## 2025-04-15 19:02:38.22366 INFO::Fitting model to feature number 516, F541
## 2025-04-15 19:02:38.226966 INFO::Fitting model to feature number 517, F543
## 2025-04-15 19:02:38.230298 INFO::Fitting model to feature number 518, F544
## 2025-04-15 19:02:38.233608 INFO::Fitting model to feature number 519, F545
## 2025-04-15 19:02:38.236947 INFO::Fitting model to feature number 520, F546
## 2025-04-15 19:02:38.240287 INFO::Fitting model to feature number 521, F547
## 2025-04-15 19:02:38.243591 INFO::Fitting model to feature number 522, F548
## 2025-04-15 19:02:38.246913 INFO::Fitting model to feature number 523, F549
## 2025-04-15 19:02:38.250216 INFO::Fitting model to feature number 524, F550
## 2025-04-15 19:02:38.253534 INFO::Fitting model to feature number 525, F551
## 2025-04-15 19:02:38.256813 INFO::Fitting model to feature number 526, F552
## 2025-04-15 19:02:38.260098 INFO::Fitting model to feature number 527, F553
## 2025-04-15 19:02:38.263395 INFO::Fitting model to feature number 528, F554
## 2025-04-15 19:02:38.266687 INFO::Fitting model to feature number 529, F555
## 2025-04-15 19:02:38.269973 INFO::Fitting model to feature number 530, F556
## 2025-04-15 19:02:38.273268 INFO::Fitting model to feature number 531, F557
## 2025-04-15 19:02:38.276498 INFO::Fitting model to feature number 532, F558
## 2025-04-15 19:02:38.279808 INFO::Fitting model to feature number 533, F559
## 2025-04-15 19:02:38.283072 INFO::Fitting model to feature number 534, F560
## 2025-04-15 19:02:38.286438 INFO::Fitting model to feature number 535, F561
## 2025-04-15 19:02:38.289854 INFO::Fitting model to feature number 536, F562
## 2025-04-15 19:02:38.293228 INFO::Fitting model to feature number 537, F563
## 2025-04-15 19:02:38.296601 INFO::Fitting model to feature number 538, F564
## 2025-04-15 19:02:38.299946 INFO::Fitting model to feature number 539, F566
## 2025-04-15 19:02:38.303251 INFO::Fitting model to feature number 540, F567
## 2025-04-15 19:02:38.306603 INFO::Fitting model to feature number 541, F568
## 2025-04-15 19:02:38.309935 INFO::Fitting model to feature number 542, F569
## 2025-04-15 19:02:38.313243 INFO::Fitting model to feature number 543, F570
## 2025-04-15 19:02:38.316535 INFO::Fitting model to feature number 544, F571
## 2025-04-15 19:02:38.319848 INFO::Fitting model to feature number 545, F572
## 2025-04-15 19:02:38.323166 INFO::Fitting model to feature number 546, F573
## 2025-04-15 19:02:38.326529 INFO::Fitting model to feature number 547, F574
## 2025-04-15 19:02:38.329952 INFO::Fitting model to feature number 548, F575
## 2025-04-15 19:02:38.333342 INFO::Fitting model to feature number 549, F576
## 2025-04-15 19:02:38.33672 INFO::Fitting model to feature number 550, F577
## 2025-04-15 19:02:38.340026 INFO::Fitting model to feature number 551, F578
## 2025-04-15 19:02:38.343338 INFO::Fitting model to feature number 552, F579
## 2025-04-15 19:02:38.34672 INFO::Fitting model to feature number 553, F580
## 2025-04-15 19:02:38.350094 INFO::Fitting model to feature number 554, F581
## 2025-04-15 19:02:38.353482 INFO::Fitting model to feature number 555, F582
## 2025-04-15 19:02:38.356803 INFO::Fitting model to feature number 556, F583
## 2025-04-15 19:02:38.360162 INFO::Fitting model to feature number 557, F584
## 2025-04-15 19:02:38.363504 INFO::Fitting model to feature number 558, F585
## 2025-04-15 19:02:38.36683 INFO::Fitting model to feature number 559, F586
## 2025-04-15 19:02:38.370126 INFO::Fitting model to feature number 560, F587
## 2025-04-15 19:02:38.373407 INFO::Fitting model to feature number 561, F588
## 2025-04-15 19:02:38.376706 INFO::Fitting model to feature number 562, F589
## 2025-04-15 19:02:38.379898 INFO::Fitting model to feature number 563, F590
## 2025-04-15 19:02:38.383154 INFO::Fitting model to feature number 564, F591
## 2025-04-15 19:02:38.386414 INFO::Fitting model to feature number 565, F592
## 2025-04-15 19:02:38.38965 INFO::Fitting model to feature number 566, F593
## 2025-04-15 19:02:38.392878 INFO::Fitting model to feature number 567, F594
## 2025-04-15 19:02:38.396125 INFO::Fitting model to feature number 568, F595
## 2025-04-15 19:02:38.399371 INFO::Fitting model to feature number 569, F596
## 2025-04-15 19:02:38.40265 INFO::Fitting model to feature number 570, F597
## 2025-04-15 19:02:38.405928 INFO::Fitting model to feature number 571, F598
## 2025-04-15 19:02:38.409227 INFO::Fitting model to feature number 572, F599
## 2025-04-15 19:02:38.412585 INFO::Fitting model to feature number 573, F600
## 2025-04-15 19:02:38.415919 INFO::Fitting model to feature number 574, F601
## 2025-04-15 19:02:38.419268 INFO::Fitting model to feature number 575, F602
## 2025-04-15 19:02:38.422691 INFO::Fitting model to feature number 576, F603
## 2025-04-15 19:02:38.426119 INFO::Fitting model to feature number 577, F605
## 2025-04-15 19:02:38.429539 INFO::Fitting model to feature number 578, F606
## 2025-04-15 19:02:38.432947 INFO::Fitting model to feature number 579, F607
## 2025-04-15 19:02:38.436335 INFO::Fitting model to feature number 580, F608
## 2025-04-15 19:02:38.439746 INFO::Fitting model to feature number 581, F609
## 2025-04-15 19:02:38.443102 INFO::Fitting model to feature number 582, F610
## 2025-04-15 19:02:38.446424 INFO::Fitting model to feature number 583, F611
## 2025-04-15 19:02:38.449685 INFO::Fitting model to feature number 584, F612
## 2025-04-15 19:02:38.453014 INFO::Fitting model to feature number 585, F613
## 2025-04-15 19:02:38.456323 INFO::Fitting model to feature number 586, F614
## 2025-04-15 19:02:38.459621 INFO::Fitting model to feature number 587, F615
## 2025-04-15 19:02:38.46295 INFO::Fitting model to feature number 588, F616
## 2025-04-15 19:02:38.466284 INFO::Fitting model to feature number 589, F617
## 2025-04-15 19:02:38.469656 INFO::Fitting model to feature number 590, F618
## 2025-04-15 19:02:38.473066 INFO::Fitting model to feature number 591, F619
## 2025-04-15 19:02:38.47649 INFO::Fitting model to feature number 592, F620
## 2025-04-15 19:02:38.479892 INFO::Fitting model to feature number 593, F621
## 2025-04-15 19:02:38.483297 INFO::Fitting model to feature number 594, F622
## 2025-04-15 19:02:38.486742 INFO::Fitting model to feature number 595, F623
## 2025-04-15 19:02:38.490141 INFO::Fitting model to feature number 596, F624
## 2025-04-15 19:02:38.493547 INFO::Fitting model to feature number 597, F625
## 2025-04-15 19:02:38.496919 INFO::Fitting model to feature number 598, F626
## 2025-04-15 19:02:38.500189 INFO::Fitting model to feature number 599, F627
## 2025-04-15 19:02:38.503513 INFO::Fitting model to feature number 600, F628
## 2025-04-15 19:02:38.506819 INFO::Fitting model to feature number 601, F629
## 2025-04-15 19:02:38.510081 INFO::Fitting model to feature number 602, F630
## 2025-04-15 19:02:38.51335 INFO::Fitting model to feature number 603, F631
## 2025-04-15 19:02:38.516588 INFO::Fitting model to feature number 604, F632
## 2025-04-15 19:02:38.519912 INFO::Fitting model to feature number 605, F633
## 2025-04-15 19:02:38.523244 INFO::Fitting model to feature number 606, F634
## 2025-04-15 19:02:38.526672 INFO::Fitting model to feature number 607, F635
## 2025-04-15 19:02:38.530077 INFO::Fitting model to feature number 608, F636
## 2025-04-15 19:02:38.53347 INFO::Fitting model to feature number 609, F637
## 2025-04-15 19:02:38.536888 INFO::Fitting model to feature number 610, F638
## 2025-04-15 19:02:38.540279 INFO::Fitting model to feature number 611, F639
## 2025-04-15 19:02:38.543693 INFO::Fitting model to feature number 612, F640
## 2025-04-15 19:02:38.547111 INFO::Fitting model to feature number 613, F641
## 2025-04-15 19:02:38.550539 INFO::Fitting model to feature number 614, F642
## 2025-04-15 19:02:38.55399 INFO::Fitting model to feature number 615, F643
## 2025-04-15 19:02:38.557472 INFO::Fitting model to feature number 616, F644
## 2025-04-15 19:02:38.56084 INFO::Fitting model to feature number 617, F645
## 2025-04-15 19:02:38.564187 INFO::Fitting model to feature number 618, F646
## 2025-04-15 19:02:38.56755 INFO::Fitting model to feature number 619, F647
## 2025-04-15 19:02:38.570902 INFO::Fitting model to feature number 620, F648
## 2025-04-15 19:02:38.57426 INFO::Fitting model to feature number 621, F649
## 2025-04-15 19:02:38.577624 INFO::Fitting model to feature number 622, F650
## 2025-04-15 19:02:38.58108 INFO::Fitting model to feature number 623, F651
## 2025-04-15 19:02:38.584519 INFO::Fitting model to feature number 624, F652
## 2025-04-15 19:02:38.587904 INFO::Fitting model to feature number 625, F653
## 2025-04-15 19:02:38.591339 INFO::Fitting model to feature number 626, F654
## 2025-04-15 19:02:38.594837 INFO::Fitting model to feature number 627, F655
## 2025-04-15 19:02:38.598305 INFO::Fitting model to feature number 628, F656
## 2025-04-15 19:02:38.601746 INFO::Fitting model to feature number 629, F657
## 2025-04-15 19:02:38.60522 INFO::Fitting model to feature number 630, F658
## 2025-04-15 19:02:38.608688 INFO::Fitting model to feature number 631, F659
## 2025-04-15 19:02:38.612212 INFO::Fitting model to feature number 632, F660
## 2025-04-15 19:02:38.615722 INFO::Fitting model to feature number 633, F661
## 2025-04-15 19:02:38.619266 INFO::Fitting model to feature number 634, F662
## 2025-04-15 19:02:38.622841 INFO::Fitting model to feature number 635, F663
## 2025-04-15 19:02:38.626301 INFO::Fitting model to feature number 636, F664
## 2025-04-15 19:02:38.629777 INFO::Fitting model to feature number 637, F665
## 2025-04-15 19:02:38.633218 INFO::Fitting model to feature number 638, F666
## 2025-04-15 19:02:38.636638 INFO::Fitting model to feature number 639, F667
## 2025-04-15 19:02:38.63998 INFO::Fitting model to feature number 640, F668
## 2025-04-15 19:02:38.643305 INFO::Fitting model to feature number 641, F669
## 2025-04-15 19:02:38.646657 INFO::Fitting model to feature number 642, F670
## 2025-04-15 19:02:38.650019 INFO::Fitting model to feature number 643, F671
## 2025-04-15 19:02:38.653417 INFO::Fitting model to feature number 644, F672
## 2025-04-15 19:02:38.656828 INFO::Fitting model to feature number 645, F673
## 2025-04-15 19:02:38.660229 INFO::Fitting model to feature number 646, F674
## 2025-04-15 19:02:38.66362 INFO::Fitting model to feature number 647, F675
## 2025-04-15 19:02:38.666953 INFO::Fitting model to feature number 648, F676
## 2025-04-15 19:02:38.670335 INFO::Fitting model to feature number 649, F677
## 2025-04-15 19:02:38.673748 INFO::Fitting model to feature number 650, F678
## 2025-04-15 19:02:38.67716 INFO::Fitting model to feature number 651, F679
## 2025-04-15 19:02:38.680539 INFO::Fitting model to feature number 652, F680
## 2025-04-15 19:02:38.683891 INFO::Fitting model to feature number 653, F681
## 2025-04-15 19:02:38.687221 INFO::Fitting model to feature number 654, F682
## 2025-04-15 19:02:38.690591 INFO::Fitting model to feature number 655, F683
## 2025-04-15 19:02:38.693985 INFO::Fitting model to feature number 656, F684
## 2025-04-15 19:02:38.69735 INFO::Fitting model to feature number 657, F685
## 2025-04-15 19:02:38.700651 INFO::Fitting model to feature number 658, F686
## 2025-04-15 19:02:38.703978 INFO::Fitting model to feature number 659, F687
## 2025-04-15 19:02:38.707284 INFO::Fitting model to feature number 660, F688
## 2025-04-15 19:02:38.710605 INFO::Fitting model to feature number 661, F689
## 2025-04-15 19:02:38.714011 INFO::Fitting model to feature number 662, F690
## 2025-04-15 19:02:38.717428 INFO::Fitting model to feature number 663, F691
## 2025-04-15 19:02:38.72087 INFO::Fitting model to feature number 664, F692
## 2025-04-15 19:02:38.724297 INFO::Fitting model to feature number 665, F693
## 2025-04-15 19:02:38.727687 INFO::Fitting model to feature number 666, F694
## 2025-04-15 19:02:38.731041 INFO::Fitting model to feature number 667, F695
## 2025-04-15 19:02:38.734363 INFO::Fitting model to feature number 668, F696
## 2025-04-15 19:02:38.737712 INFO::Fitting model to feature number 669, F697
## 2025-04-15 19:02:38.741046 INFO::Fitting model to feature number 670, F698
## 2025-04-15 19:02:38.744317 INFO::Fitting model to feature number 671, F699
## 2025-04-15 19:02:38.747664 INFO::Fitting model to feature number 672, F700
## 2025-04-15 19:02:38.750997 INFO::Fitting model to feature number 673, F701
## 2025-04-15 19:02:38.754311 INFO::Fitting model to feature number 674, F702
## 2025-04-15 19:02:38.757602 INFO::Fitting model to feature number 675, F704
## 2025-04-15 19:02:38.760874 INFO::Fitting model to feature number 676, F705
## 2025-04-15 19:02:38.764171 INFO::Fitting model to feature number 677, F706
## 2025-04-15 19:02:38.767453 INFO::Fitting model to feature number 678, F707
## 2025-04-15 19:02:38.770747 INFO::Fitting model to feature number 679, F708
## 2025-04-15 19:02:38.77408 INFO::Fitting model to feature number 680, F709
## 2025-04-15 19:02:38.777426 INFO::Fitting model to feature number 681, F710
## 2025-04-15 19:02:38.780757 INFO::Fitting model to feature number 682, F711
## 2025-04-15 19:02:38.784014 INFO::Fitting model to feature number 683, F712
## 2025-04-15 19:02:38.787315 INFO::Fitting model to feature number 684, F713
## 2025-04-15 19:02:38.790664 INFO::Fitting model to feature number 685, F714
## 2025-04-15 19:02:38.794038 INFO::Fitting model to feature number 686, F715
## 2025-04-15 19:02:38.79735 INFO::Fitting model to feature number 687, F716
## 2025-04-15 19:02:38.800671 INFO::Fitting model to feature number 688, F717
## 2025-04-15 19:02:38.803987 INFO::Fitting model to feature number 689, F718
## 2025-04-15 19:02:38.807338 INFO::Fitting model to feature number 690, F719
## 2025-04-15 19:02:38.810707 INFO::Fitting model to feature number 691, F720
## 2025-04-15 19:02:38.814029 INFO::Fitting model to feature number 692, F721
## 2025-04-15 19:02:38.817299 INFO::Fitting model to feature number 693, F722
## 2025-04-15 19:02:38.820587 INFO::Fitting model to feature number 694, F723
## 2025-04-15 19:02:38.82392 INFO::Fitting model to feature number 695, F724
## 2025-04-15 19:02:38.827269 INFO::Fitting model to feature number 696, F725
## 2025-04-15 19:02:38.830642 INFO::Fitting model to feature number 697, F726
## 2025-04-15 19:02:38.83401 INFO::Fitting model to feature number 698, F727
## 2025-04-15 19:02:38.837485 INFO::Fitting model to feature number 699, F728
## 2025-04-15 19:02:38.841015 INFO::Fitting model to feature number 700, F729
## 2025-04-15 19:02:38.844587 INFO::Fitting model to feature number 701, F730
## 2025-04-15 19:02:38.848134 INFO::Fitting model to feature number 702, F731
## 2025-04-15 19:02:38.851722 INFO::Fitting model to feature number 703, F732
## 2025-04-15 19:02:38.855255 INFO::Fitting model to feature number 704, F733
## 2025-04-15 19:02:38.858773 INFO::Fitting model to feature number 705, F734
## 2025-04-15 19:02:38.862222 INFO::Fitting model to feature number 706, F735
## 2025-04-15 19:02:38.865583 INFO::Fitting model to feature number 707, F736
## 2025-04-15 19:02:38.868963 INFO::Fitting model to feature number 708, F737
## 2025-04-15 19:02:38.872287 INFO::Fitting model to feature number 709, F739
## 2025-04-15 19:02:38.87559 INFO::Fitting model to feature number 710, F740
## 2025-04-15 19:02:38.878888 INFO::Fitting model to feature number 711, F741
## 2025-04-15 19:02:38.88217 INFO::Fitting model to feature number 712, F742
## 2025-04-15 19:02:38.885478 INFO::Fitting model to feature number 713, F743
## 2025-04-15 19:02:38.888793 INFO::Fitting model to feature number 714, F744
## 2025-04-15 19:02:38.892072 INFO::Fitting model to feature number 715, F745
## 2025-04-15 19:02:38.895358 INFO::Fitting model to feature number 716, F746
## 2025-04-15 19:02:38.898654 INFO::Fitting model to feature number 717, F747
## 2025-04-15 19:02:38.901948 INFO::Fitting model to feature number 718, F748
## 2025-04-15 19:02:38.905223 INFO::Fitting model to feature number 719, F749
## 2025-04-15 19:02:38.908517 INFO::Fitting model to feature number 720, F750
## 2025-04-15 19:02:38.91183 INFO::Fitting model to feature number 721, F751
## 2025-04-15 19:02:38.915133 INFO::Fitting model to feature number 722, F752
## 2025-04-15 19:02:38.918434 INFO::Fitting model to feature number 723, F753
## 2025-04-15 19:02:38.921774 INFO::Fitting model to feature number 724, F754
## 2025-04-15 19:02:38.925074 INFO::Fitting model to feature number 725, F755
## 2025-04-15 19:02:38.928381 INFO::Fitting model to feature number 726, F756
## 2025-04-15 19:02:38.93174 INFO::Fitting model to feature number 727, F757
## 2025-04-15 19:02:38.935056 INFO::Fitting model to feature number 728, F758
## 2025-04-15 19:02:38.938437 INFO::Fitting model to feature number 729, F759
## 2025-04-15 19:02:38.941785 INFO::Fitting model to feature number 730, F760
## 2025-04-15 19:02:38.945084 INFO::Fitting model to feature number 731, F761
## 2025-04-15 19:02:38.948455 INFO::Fitting model to feature number 732, F762
## 2025-04-15 19:02:38.951873 INFO::Fitting model to feature number 733, F763
## 2025-04-15 19:02:38.955231 INFO::Fitting model to feature number 734, F764
## 2025-04-15 19:02:38.958546 INFO::Fitting model to feature number 735, F765
## 2025-04-15 19:02:38.961868 INFO::Fitting model to feature number 736, F766
## 2025-04-15 19:02:38.965193 INFO::Fitting model to feature number 737, F767
## 2025-04-15 19:02:38.968515 INFO::Fitting model to feature number 738, F768
## 2025-04-15 19:02:38.971827 INFO::Fitting model to feature number 739, F769
## 2025-04-15 19:02:38.975178 INFO::Fitting model to feature number 740, F770
## 2025-04-15 19:02:38.978491 INFO::Fitting model to feature number 741, F771
## 2025-04-15 19:02:38.981869 INFO::Fitting model to feature number 742, F772
## 2025-04-15 19:02:38.985257 INFO::Fitting model to feature number 743, F773
## 2025-04-15 19:02:38.988666 INFO::Fitting model to feature number 744, F774
## 2025-04-15 19:02:38.992066 INFO::Fitting model to feature number 745, F775
## 2025-04-15 19:02:38.995476 INFO::Fitting model to feature number 746, F776
## 2025-04-15 19:02:38.998827 INFO::Fitting model to feature number 747, F777
## 2025-04-15 19:02:39.002239 INFO::Fitting model to feature number 748, F778
## 2025-04-15 19:02:39.005591 INFO::Fitting model to feature number 749, F779
## 2025-04-15 19:02:39.008909 INFO::Fitting model to feature number 750, F780
## 2025-04-15 19:02:39.02921 INFO::Fitting model to feature number 751, F781
## 2025-04-15 19:02:39.034404 INFO::Fitting model to feature number 752, F782
## 2025-04-15 19:02:39.037915 INFO::Fitting model to feature number 753, F783
## 2025-04-15 19:02:39.041354 INFO::Fitting model to feature number 754, F784
## 2025-04-15 19:02:39.044796 INFO::Fitting model to feature number 755, F785
## 2025-04-15 19:02:39.048154 INFO::Fitting model to feature number 756, F786
## 2025-04-15 19:02:39.051552 INFO::Fitting model to feature number 757, F787
## 2025-04-15 19:02:39.055008 INFO::Fitting model to feature number 758, F788
## 2025-04-15 19:02:39.058427 INFO::Fitting model to feature number 759, F789
## 2025-04-15 19:02:39.06183 INFO::Fitting model to feature number 760, F790
## 2025-04-15 19:02:39.065209 INFO::Fitting model to feature number 761, F791
## 2025-04-15 19:02:39.068565 INFO::Fitting model to feature number 762, F792
## 2025-04-15 19:02:39.071854 INFO::Fitting model to feature number 763, F793
## 2025-04-15 19:02:39.075198 INFO::Fitting model to feature number 764, F794
## 2025-04-15 19:02:39.078535 INFO::Fitting model to feature number 765, F795
## 2025-04-15 19:02:39.081836 INFO::Fitting model to feature number 766, F796
## 2025-04-15 19:02:39.0851 INFO::Fitting model to feature number 767, F797
## 2025-04-15 19:02:39.088467 INFO::Fitting model to feature number 768, F798
## 2025-04-15 19:02:39.091901 INFO::Fitting model to feature number 769, F799
## 2025-04-15 19:02:39.09536 INFO::Fitting model to feature number 770, F800
## 2025-04-15 19:02:39.098863 INFO::Fitting model to feature number 771, F801
## 2025-04-15 19:02:39.102357 INFO::Fitting model to feature number 772, F802
## 2025-04-15 19:02:39.10584 INFO::Fitting model to feature number 773, F803
## 2025-04-15 19:02:39.109272 INFO::Fitting model to feature number 774, F804
## 2025-04-15 19:02:39.112705 INFO::Fitting model to feature number 775, F805
## 2025-04-15 19:02:39.116148 INFO::Fitting model to feature number 776, F806
## 2025-04-15 19:02:39.119542 INFO::Fitting model to feature number 777, F808
## 2025-04-15 19:02:39.122952 INFO::Fitting model to feature number 778, F809
## 2025-04-15 19:02:39.12636 INFO::Fitting model to feature number 779, F810
## 2025-04-15 19:02:39.129794 INFO::Fitting model to feature number 780, F811
## 2025-04-15 19:02:39.133185 INFO::Fitting model to feature number 781, F812
## 2025-04-15 19:02:39.136442 INFO::Fitting model to feature number 782, F813
## 2025-04-15 19:02:39.139738 INFO::Fitting model to feature number 783, F814
## 2025-04-15 19:02:39.143037 INFO::Fitting model to feature number 784, F815
## 2025-04-15 19:02:39.14639 INFO::Fitting model to feature number 785, F816
## 2025-04-15 19:02:39.149771 INFO::Fitting model to feature number 786, F817
## 2025-04-15 19:02:39.15306 INFO::Fitting model to feature number 787, F818
## 2025-04-15 19:02:39.156397 INFO::Fitting model to feature number 788, F819
## 2025-04-15 19:02:39.159789 INFO::Fitting model to feature number 789, F820
## 2025-04-15 19:02:39.163172 INFO::Fitting model to feature number 790, F821
## 2025-04-15 19:02:39.166626 INFO::Fitting model to feature number 791, F822
## 2025-04-15 19:02:39.1701 INFO::Fitting model to feature number 792, F823
## 2025-04-15 19:02:39.173528 INFO::Fitting model to feature number 793, F824
## 2025-04-15 19:02:39.176934 INFO::Fitting model to feature number 794, F825
## 2025-04-15 19:02:39.180321 INFO::Fitting model to feature number 795, F826
## 2025-04-15 19:02:39.18378 INFO::Fitting model to feature number 796, F827
## 2025-04-15 19:02:39.187159 INFO::Fitting model to feature number 797, F828
## 2025-04-15 19:02:39.190544 INFO::Fitting model to feature number 798, F829
## 2025-04-15 19:02:39.193915 INFO::Fitting model to feature number 799, F830
## 2025-04-15 19:02:39.197263 INFO::Fitting model to feature number 800, F831
## 2025-04-15 19:02:39.200606 INFO::Fitting model to feature number 801, F832
## 2025-04-15 19:02:39.203917 INFO::Fitting model to feature number 802, F833
## 2025-04-15 19:02:39.207249 INFO::Fitting model to feature number 803, F834
## 2025-04-15 19:02:39.210592 INFO::Fitting model to feature number 804, F835
## 2025-04-15 19:02:39.213951 INFO::Fitting model to feature number 805, F836
## 2025-04-15 19:02:39.217312 INFO::Fitting model to feature number 806, F837
## 2025-04-15 19:02:39.220713 INFO::Fitting model to feature number 807, F838
## 2025-04-15 19:02:39.22409 INFO::Fitting model to feature number 808, F839
## 2025-04-15 19:02:39.227485 INFO::Fitting model to feature number 809, F840
## 2025-04-15 19:02:39.23094 INFO::Fitting model to feature number 810, F841
## 2025-04-15 19:02:39.234324 INFO::Fitting model to feature number 811, F842
## 2025-04-15 19:02:39.237695 INFO::Fitting model to feature number 812, F843
## 2025-04-15 19:02:39.241056 INFO::Fitting model to feature number 813, F844
## 2025-04-15 19:02:39.24443 INFO::Fitting model to feature number 814, F845
## 2025-04-15 19:02:39.247806 INFO::Fitting model to feature number 815, F846
## 2025-04-15 19:02:39.251168 INFO::Fitting model to feature number 816, F847
## 2025-04-15 19:02:39.254516 INFO::Fitting model to feature number 817, F848
## 2025-04-15 19:02:39.257815 INFO::Fitting model to feature number 818, F849
## 2025-04-15 19:02:39.261127 INFO::Fitting model to feature number 819, F850
## 2025-04-15 19:02:39.264468 INFO::Fitting model to feature number 820, F851
## 2025-04-15 19:02:39.267846 INFO::Fitting model to feature number 821, F852
## 2025-04-15 19:02:39.271202 INFO::Fitting model to feature number 822, F853
## 2025-04-15 19:02:39.274549 INFO::Fitting model to feature number 823, F854
## 2025-04-15 19:02:39.277875 INFO::Fitting model to feature number 824, F855
## 2025-04-15 19:02:39.281158 INFO::Fitting model to feature number 825, F856
## 2025-04-15 19:02:39.284418 INFO::Fitting model to feature number 826, F857
## 2025-04-15 19:02:39.287683 INFO::Fitting model to feature number 827, F858
## 2025-04-15 19:02:39.290877 INFO::Fitting model to feature number 828, F859
## 2025-04-15 19:02:39.294121 INFO::Fitting model to feature number 829, F860
## 2025-04-15 19:02:39.297378 INFO::Fitting model to feature number 830, F861
## 2025-04-15 19:02:39.300666 INFO::Fitting model to feature number 831, F862
## 2025-04-15 19:02:39.303922 INFO::Fitting model to feature number 832, F863
## 2025-04-15 19:02:39.307185 INFO::Fitting model to feature number 833, F864
## 2025-04-15 19:02:39.310381 INFO::Fitting model to feature number 834, F865
## 2025-04-15 19:02:39.313583 INFO::Fitting model to feature number 835, F866
## 2025-04-15 19:02:39.316862 INFO::Fitting model to feature number 836, F867
## 2025-04-15 19:02:39.320146 INFO::Fitting model to feature number 837, F868
## 2025-04-15 19:02:39.323449 INFO::Fitting model to feature number 838, F869
## 2025-04-15 19:02:39.326803 INFO::Fitting model to feature number 839, F870
## 2025-04-15 19:02:39.330108 INFO::Fitting model to feature number 840, F871
## 2025-04-15 19:02:39.333385 INFO::Fitting model to feature number 841, F872
## 2025-04-15 19:02:39.336763 INFO::Fitting model to feature number 842, F873
## 2025-04-15 19:02:39.340142 INFO::Fitting model to feature number 843, F874
## 2025-04-15 19:02:39.343531 INFO::Fitting model to feature number 844, F875
## 2025-04-15 19:02:39.34695 INFO::Fitting model to feature number 845, F876
## 2025-04-15 19:02:39.35039 INFO::Fitting model to feature number 846, F877
## 2025-04-15 19:02:39.353872 INFO::Fitting model to feature number 847, F878
## 2025-04-15 19:02:39.357369 INFO::Fitting model to feature number 848, F879
## 2025-04-15 19:02:39.360873 INFO::Fitting model to feature number 849, F880
## 2025-04-15 19:02:39.364327 INFO::Fitting model to feature number 850, F881
## 2025-04-15 19:02:39.367762 INFO::Fitting model to feature number 851, F882
## 2025-04-15 19:02:39.371157 INFO::Fitting model to feature number 852, F883
## 2025-04-15 19:02:39.374553 INFO::Fitting model to feature number 853, F884
## 2025-04-15 19:02:39.377868 INFO::Fitting model to feature number 854, F885
## 2025-04-15 19:02:39.381176 INFO::Fitting model to feature number 855, F886
## 2025-04-15 19:02:39.384528 INFO::Fitting model to feature number 856, F887
## 2025-04-15 19:02:39.3879 INFO::Fitting model to feature number 857, F888
## 2025-04-15 19:02:39.391241 INFO::Fitting model to feature number 858, F889
## 2025-04-15 19:02:39.394554 INFO::Fitting model to feature number 859, F890
## 2025-04-15 19:02:39.397846 INFO::Fitting model to feature number 860, F891
## 2025-04-15 19:02:39.401121 INFO::Fitting model to feature number 861, F892
## 2025-04-15 19:02:39.40437 INFO::Fitting model to feature number 862, F893
## 2025-04-15 19:02:39.407598 INFO::Fitting model to feature number 863, F894
## 2025-04-15 19:02:39.410772 INFO::Fitting model to feature number 864, F895
## 2025-04-15 19:02:39.41401 INFO::Fitting model to feature number 865, F896
## 2025-04-15 19:02:39.417272 INFO::Fitting model to feature number 866, F897
## 2025-04-15 19:02:39.420538 INFO::Fitting model to feature number 867, F898
## 2025-04-15 19:02:39.423855 INFO::Fitting model to feature number 868, F899
## 2025-04-15 19:02:39.427201 INFO::Fitting model to feature number 869, F900
## 2025-04-15 19:02:39.58386 INFO::Counting total values for each feature
## 2025-04-15 19:02:39.694587 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2025-04-15 19:02:39.805867 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2025-04-15 19:02:39.925133 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2025-04-15 19:02:40.037493 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2025-04-15 19:02:40.07946 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2025-04-15 19:02:40.114874 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2025-04-15 19:02:40.129306 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2025-04-15 19:02:40.135968 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2025-04-15 19:02:40.152471 INFO::Plotting associations from most to least significant, grouped by metadata
## 2025-04-15 19:02:40.153541 INFO::Plotting data for metadata number 1, diagnosis
## 2025-04-15 19:02:40.193942 INFO::Creating boxplot for categorical data, diagnosis vs F504

## 2025-04-15 19:02:40.515367 INFO::Creating boxplot for categorical data, diagnosis vs F859

## 2025-04-15 19:02:40.710817 INFO::Creating boxplot for categorical data, diagnosis vs F533

## 2025-04-15 19:02:40.891479 INFO::Creating boxplot for categorical data, diagnosis vs F587

## 2025-04-15 19:02:41.065141 INFO::Creating boxplot for categorical data, diagnosis vs F584

## 2025-04-15 19:02:41.270513 INFO::Creating boxplot for categorical data, diagnosis vs F197

## 2025-04-15 19:02:41.437136 INFO::Creating boxplot for categorical data, diagnosis vs F380

## 2025-04-15 19:02:41.609238 INFO::Creating boxplot for categorical data, diagnosis vs F829

## 2025-04-15 19:02:41.785458 INFO::Creating boxplot for categorical data, diagnosis vs F664

## 2025-04-15 19:02:41.964552 INFO::Creating boxplot for categorical data, diagnosis vs F93

## 2025-04-15 19:02:42.157161 INFO::Creating boxplot for categorical data, diagnosis vs F15

## 2025-04-15 19:02:42.347543 INFO::Creating boxplot for categorical data, diagnosis vs F881

## 2025-04-15 19:02:42.533264 INFO::Creating boxplot for categorical data, diagnosis vs F806

## 2025-04-15 19:02:42.714352 INFO::Creating boxplot for categorical data, diagnosis vs F78

## 2025-04-15 19:02:42.89129 INFO::Creating boxplot for categorical data, diagnosis vs F189

## 2025-04-15 19:02:43.092843 INFO::Creating boxplot for categorical data, diagnosis vs F369

## 2025-04-15 19:02:43.270662 INFO::Creating boxplot for categorical data, diagnosis vs F623

## 2025-04-15 19:02:43.439141 INFO::Creating boxplot for categorical data, diagnosis vs F710

## 2025-04-15 19:02:43.61183 INFO::Creating boxplot for categorical data, diagnosis vs F851

## 2025-04-15 19:02:43.786822 INFO::Creating boxplot for categorical data, diagnosis vs F257

## 2025-04-15 19:02:43.96992 INFO::Creating boxplot for categorical data, diagnosis vs F330

## 2025-04-15 19:02:44.135153 INFO::Creating boxplot for categorical data, diagnosis vs F344

## 2025-04-15 19:02:44.300046 INFO::Creating boxplot for categorical data, diagnosis vs F696

## 2025-04-15 19:02:44.469441 INFO::Creating boxplot for categorical data, diagnosis vs F741

## 2025-04-15 19:02:44.639972 INFO::Creating boxplot for categorical data, diagnosis vs F509

## 2025-04-15 19:02:44.836455 INFO::Creating boxplot for categorical data, diagnosis vs F479

## 2025-04-15 19:02:45.003773 INFO::Creating boxplot for categorical data, diagnosis vs F550

## 2025-04-15 19:02:45.172538 INFO::Creating boxplot for categorical data, diagnosis vs F640

## 2025-04-15 19:02:45.351992 INFO::Creating boxplot for categorical data, diagnosis vs F281

## 2025-04-15 19:02:45.535997 INFO::Creating boxplot for categorical data, diagnosis vs F80

## 2025-04-15 19:02:45.714985 INFO::Creating boxplot for categorical data, diagnosis vs F285

## 2025-04-15 19:02:45.881715 INFO::Creating boxplot for categorical data, diagnosis vs F531

## 2025-04-15 19:02:46.049872 INFO::Creating boxplot for categorical data, diagnosis vs F737

## 2025-04-15 19:02:46.230264 INFO::Creating boxplot for categorical data, diagnosis vs F875

## 2025-04-15 19:02:46.40408 INFO::Creating boxplot for categorical data, diagnosis vs F864

## 2025-04-15 19:02:46.585492 INFO::Creating boxplot for categorical data, diagnosis vs F379

## 2025-04-15 19:02:46.755594 INFO::Creating boxplot for categorical data, diagnosis vs F190

## 2025-04-15 19:02:46.921905 INFO::Creating boxplot for categorical data, diagnosis vs F4

## 2025-04-15 19:02:47.094731 INFO::Creating boxplot for categorical data, diagnosis vs F591

## 2025-04-15 19:02:47.264766 INFO::Creating boxplot for categorical data, diagnosis vs F773

## 2025-04-15 19:02:47.441822 INFO::Creating boxplot for categorical data, diagnosis vs F283

## 2025-04-15 19:02:47.609113 INFO::Creating boxplot for categorical data, diagnosis vs F233

## 2025-04-15 19:02:47.77945 INFO::Creating boxplot for categorical data, diagnosis vs F420

## 2025-04-15 19:02:47.951584 INFO::Creating boxplot for categorical data, diagnosis vs F5

## 2025-04-15 19:02:48.135633 INFO::Creating boxplot for categorical data, diagnosis vs F137

## 2025-04-15 19:02:48.303733 INFO::Creating boxplot for categorical data, diagnosis vs F215

## 2025-04-15 19:02:48.469841 INFO::Creating boxplot for categorical data, diagnosis vs F489

## 2025-04-15 19:02:48.641692 INFO::Creating boxplot for categorical data, diagnosis vs F220

## 2025-04-15 19:02:48.819445 INFO::Creating boxplot for categorical data, diagnosis vs F691

## 2025-04-15 19:02:49.003166 INFO::Creating boxplot for categorical data, diagnosis vs F381

## 2025-04-15 19:02:49.171412 INFO::Creating boxplot for categorical data, diagnosis vs F539

## 2025-04-15 19:02:49.342569 INFO::Creating boxplot for categorical data, diagnosis vs F490

## 2025-04-15 19:02:49.517279 INFO::Creating boxplot for categorical data, diagnosis vs F832

## 2025-04-15 19:02:49.691352 INFO::Creating boxplot for categorical data, diagnosis vs F396

## 2025-04-15 19:02:49.878246 INFO::Creating boxplot for categorical data, diagnosis vs F528

## 2025-04-15 19:02:50.046327 INFO::Creating boxplot for categorical data, diagnosis vs F234

## 2025-04-15 19:02:50.214198 INFO::Creating boxplot for categorical data, diagnosis vs F178

## 2025-04-15 19:02:50.384644 INFO::Creating boxplot for categorical data, diagnosis vs F761

## 2025-04-15 19:02:50.557833 INFO::Creating boxplot for categorical data, diagnosis vs F2

## 2025-04-15 19:02:50.737169 INFO::Creating boxplot for categorical data, diagnosis vs F260

## 2025-04-15 19:02:50.905399 INFO::Creating boxplot for categorical data, diagnosis vs F734

## 2025-04-15 19:02:51.081403 INFO::Creating boxplot for categorical data, diagnosis vs F429

## 2025-04-15 19:02:51.25434 INFO::Creating boxplot for categorical data, diagnosis vs F630

## 2025-04-15 19:02:51.497138 INFO::Creating boxplot for categorical data, diagnosis vs F817

## 2025-04-15 19:02:51.686694 INFO::Creating boxplot for categorical data, diagnosis vs F847

## 2025-04-15 19:02:51.857662 INFO::Creating boxplot for categorical data, diagnosis vs F896

## 2025-04-15 19:02:52.031034 INFO::Creating boxplot for categorical data, diagnosis vs F81

## 2025-04-15 19:02:52.212378 INFO::Creating boxplot for categorical data, diagnosis vs F110

## 2025-04-15 19:02:52.4091 INFO::Creating boxplot for categorical data, diagnosis vs F3

## 2025-04-15 19:02:52.583364 INFO::Creating boxplot for categorical data, diagnosis vs F33

## 2025-04-15 19:02:52.768791 INFO::Creating boxplot for categorical data, diagnosis vs F270

## 2025-04-15 19:02:52.953802 INFO::Creating boxplot for categorical data, diagnosis vs F278

## 2025-04-15 19:02:53.13332 INFO::Creating boxplot for categorical data, diagnosis vs F264

## 2025-04-15 19:02:53.317038 INFO::Creating boxplot for categorical data, diagnosis vs F90

## 2025-04-15 19:02:53.484682 INFO::Creating boxplot for categorical data, diagnosis vs F403

## 2025-04-15 19:02:53.65658 INFO::Creating boxplot for categorical data, diagnosis vs F727

## 2025-04-15 19:02:53.834197 INFO::Creating boxplot for categorical data, diagnosis vs F394

## 2025-04-15 19:02:54.010358 INFO::Creating boxplot for categorical data, diagnosis vs F800

## 2025-04-15 19:02:54.191232 INFO::Creating boxplot for categorical data, diagnosis vs F439

## 2025-04-15 19:02:54.360165 INFO::Creating boxplot for categorical data, diagnosis vs F554

## 2025-04-15 19:02:54.529556 INFO::Creating boxplot for categorical data, diagnosis vs F559

## 2025-04-15 19:02:54.701077 INFO::Creating boxplot for categorical data, diagnosis vs F548

## 2025-04-15 19:02:54.879288 INFO::Creating boxplot for categorical data, diagnosis vs F794

## 2025-04-15 19:02:55.060551 INFO::Creating boxplot for categorical data, diagnosis vs F45

## 2025-04-15 19:02:55.261149 INFO::Creating boxplot for categorical data, diagnosis vs F158

## 2025-04-15 19:02:55.450314 INFO::Creating boxplot for categorical data, diagnosis vs F477

## 2025-04-15 19:02:55.647215 INFO::Creating boxplot for categorical data, diagnosis vs F1

## 2025-04-15 19:02:55.84609 INFO::Creating boxplot for categorical data, diagnosis vs F862

## 2025-04-15 19:02:56.02916 INFO::Creating boxplot for categorical data, diagnosis vs F803

## 2025-04-15 19:02:56.196178 INFO::Creating boxplot for categorical data, diagnosis vs F751

## 2025-04-15 19:02:56.368811 INFO::Creating boxplot for categorical data, diagnosis vs F98

## 2025-04-15 19:02:56.541996 INFO::Creating boxplot for categorical data, diagnosis vs F22

## 2025-04-15 19:02:56.728299 INFO::Creating boxplot for categorical data, diagnosis vs F625

## 2025-04-15 19:02:56.901493 INFO::Creating boxplot for categorical data, diagnosis vs F206

## 2025-04-15 19:02:57.077024 INFO::Creating boxplot for categorical data, diagnosis vs F779

## 2025-04-15 19:02:57.258339 INFO::Creating boxplot for categorical data, diagnosis vs F532

## 2025-04-15 19:02:57.4408 INFO::Creating boxplot for categorical data, diagnosis vs F676

## 2025-04-15 19:02:57.635077 INFO::Creating boxplot for categorical data, diagnosis vs F644

## 2025-04-15 19:02:57.806744 INFO::Creating boxplot for categorical data, diagnosis vs F7

## 2025-04-15 19:02:57.977046 INFO::Creating boxplot for categorical data, diagnosis vs F596

## 2025-04-15 19:02:58.16166 INFO::Creating boxplot for categorical data, diagnosis vs F250

## 2025-04-15 19:02:58.368802 INFO::Creating boxplot for categorical data, diagnosis vs F462

## 2025-04-15 19:02:58.538717 INFO::Creating boxplot for categorical data, diagnosis vs F516

## 2025-04-15 19:02:58.709381 INFO::Creating boxplot for categorical data, diagnosis vs F659

## 2025-04-15 19:02:58.888968 INFO::Creating boxplot for categorical data, diagnosis vs F663

## 2025-04-15 19:02:59.072339 INFO::Creating boxplot for categorical data, diagnosis vs F837

## 2025-04-15 19:02:59.981463 INFO::Creating boxplot for categorical data, diagnosis vs F138

## 2025-04-15 19:03:00.147686 INFO::Creating boxplot for categorical data, diagnosis vs F445

## 2025-04-15 19:03:00.313554 INFO::Creating boxplot for categorical data, diagnosis vs F697

## 2025-04-15 19:03:00.489266 INFO::Creating boxplot for categorical data, diagnosis vs F225

## 2025-04-15 19:03:00.665202 INFO::Creating boxplot for categorical data, diagnosis vs F148

## 2025-04-15 19:03:00.844793 INFO::Creating boxplot for categorical data, diagnosis vs F448

## 2025-04-15 19:03:01.010495 INFO::Creating boxplot for categorical data, diagnosis vs F91

## 2025-04-15 19:03:01.177514 INFO::Creating boxplot for categorical data, diagnosis vs F123

## 2025-04-15 19:03:01.34807 INFO::Creating boxplot for categorical data, diagnosis vs F665

## 2025-04-15 19:03:01.517932 INFO::Creating boxplot for categorical data, diagnosis vs F845

## 2025-04-15 19:03:01.70567 INFO::Creating boxplot for categorical data, diagnosis vs F331

## 2025-04-15 19:03:01.877143 INFO::Creating boxplot for categorical data, diagnosis vs F361

## 2025-04-15 19:03:02.045336 INFO::Creating boxplot for categorical data, diagnosis vs F421

## 2025-04-15 19:03:02.215883 INFO::Creating boxplot for categorical data, diagnosis vs F277

## 2025-04-15 19:03:02.386286 INFO::Creating boxplot for categorical data, diagnosis vs F307

## 2025-04-15 19:03:02.563805 INFO::Creating boxplot for categorical data, diagnosis vs F503

## 2025-04-15 19:03:02.730877 INFO::Creating boxplot for categorical data, diagnosis vs F34

## 2025-04-15 19:03:02.898518 INFO::Creating boxplot for categorical data, diagnosis vs F649

## 2025-04-15 19:03:03.072591 INFO::Creating boxplot for categorical data, diagnosis vs F825

## 2025-04-15 19:03:03.24421 INFO::Creating boxplot for categorical data, diagnosis vs F298

## 2025-04-15 19:03:03.426044 INFO::Creating boxplot for categorical data, diagnosis vs F461

## 2025-04-15 19:03:03.592309 INFO::Creating boxplot for categorical data, diagnosis vs F242

## 2025-04-15 19:03:03.759407 INFO::Creating boxplot for categorical data, diagnosis vs F375

## 2025-04-15 19:03:03.930236 INFO::Creating boxplot for categorical data, diagnosis vs F648

## 2025-04-15 19:03:04.104445 INFO::Creating boxplot for categorical data, diagnosis vs F724

## 2025-04-15 19:03:04.284703 INFO::Creating boxplot for categorical data, diagnosis vs F678

## 2025-04-15 19:03:04.452605 INFO::Creating boxplot for categorical data, diagnosis vs F290

## 2025-04-15 19:03:04.621686 INFO::Creating boxplot for categorical data, diagnosis vs F743

## 2025-04-15 19:03:04.80236 INFO::Creating boxplot for categorical data, diagnosis vs F495

## 2025-04-15 19:03:04.981134 INFO::Creating boxplot for categorical data, diagnosis vs F261

## 2025-04-15 19:03:05.168036 INFO::Creating boxplot for categorical data, diagnosis vs F43

## 2025-04-15 19:03:05.340915 INFO::Creating boxplot for categorical data, diagnosis vs F714

## 2025-04-15 19:03:05.512572 INFO::Creating boxplot for categorical data, diagnosis vs F131

## 2025-04-15 19:03:05.682393 INFO::Creating boxplot for categorical data, diagnosis vs F150

## 2025-04-15 19:03:05.865189 INFO::Creating boxplot for categorical data, diagnosis vs F651

## 2025-04-15 19:03:06.038169 INFO::Creating boxplot for categorical data, diagnosis vs F798

## 2025-04-15 19:03:06.208741 INFO::Creating boxplot for categorical data, diagnosis vs F289

## 2025-04-15 19:03:06.379751 INFO::Creating boxplot for categorical data, diagnosis vs F661

## 2025-04-15 19:03:06.55368 INFO::Creating boxplot for categorical data, diagnosis vs F199

## 2025-04-15 19:03:06.748543 INFO::Creating boxplot for categorical data, diagnosis vs F406

## 2025-04-15 19:03:06.921025 INFO::Creating boxplot for categorical data, diagnosis vs F139

## 2025-04-15 19:03:07.093521 INFO::Creating boxplot for categorical data, diagnosis vs F506

## 2025-04-15 19:03:07.263402 INFO::Creating boxplot for categorical data, diagnosis vs F552

## 2025-04-15 19:03:07.438068 INFO::Creating boxplot for categorical data, diagnosis vs F94

## 2025-04-15 19:03:07.620581 INFO::Creating boxplot for categorical data, diagnosis vs F430

## 2025-04-15 19:03:07.787007 INFO::Creating boxplot for categorical data, diagnosis vs F639

## 2025-04-15 19:03:07.95434 INFO::Creating boxplot for categorical data, diagnosis vs F500

## 2025-04-15 19:03:08.126079 INFO::Creating boxplot for categorical data, diagnosis vs F609

## 2025-04-15 19:03:08.29927 INFO::Creating boxplot for categorical data, diagnosis vs F306

## 2025-04-15 19:03:08.480603 INFO::Creating boxplot for categorical data, diagnosis vs F507

## 2025-04-15 19:03:08.650633 INFO::Creating boxplot for categorical data, diagnosis vs F671

## 2025-04-15 19:03:08.817823 INFO::Creating boxplot for categorical data, diagnosis vs F894

## 2025-04-15 19:03:08.989137 INFO::Creating boxplot for categorical data, diagnosis vs F345

## 2025-04-15 19:03:09.161844 INFO::Creating boxplot for categorical data, diagnosis vs F801

## 2025-04-15 19:03:09.340777 INFO::Creating boxplot for categorical data, diagnosis vs F194

## 2025-04-15 19:03:09.510018 INFO::Creating boxplot for categorical data, diagnosis vs F195

## 2025-04-15 19:03:09.680273 INFO::Creating boxplot for categorical data, diagnosis vs F119

## 2025-04-15 19:03:09.856363 INFO::Creating boxplot for categorical data, diagnosis vs F120

## 2025-04-15 19:03:10.027863 INFO::Creating boxplot for categorical data, diagnosis vs F231

## 2025-04-15 19:03:10.204165 INFO::Creating boxplot for categorical data, diagnosis vs F311

## 2025-04-15 19:03:10.367756 INFO::Creating boxplot for categorical data, diagnosis vs F646

## 2025-04-15 19:03:10.533722 INFO::Creating boxplot for categorical data, diagnosis vs F814

## 2025-04-15 19:03:10.704216 INFO::Creating boxplot for categorical data, diagnosis vs F510

## 2025-04-15 19:03:10.88608 INFO::Creating boxplot for categorical data, diagnosis vs F398

## 2025-04-15 19:03:11.051629 INFO::Creating boxplot for categorical data, diagnosis vs F60

## 2025-04-15 19:03:11.218811 INFO::Creating boxplot for categorical data, diagnosis vs F153

## 2025-04-15 19:03:11.390495 INFO::Creating boxplot for categorical data, diagnosis vs F858

## 2025-04-15 19:03:11.563095 INFO::Creating boxplot for categorical data, diagnosis vs F775

## 2025-04-15 19:03:11.741836 INFO::Creating boxplot for categorical data, diagnosis vs F684

## 2025-04-15 19:03:11.918849 INFO::Creating boxplot for categorical data, diagnosis vs F384

## 2025-04-15 19:03:12.090237 INFO::Creating boxplot for categorical data, diagnosis vs F134

## 2025-04-15 19:03:12.260705 INFO::Creating boxplot for categorical data, diagnosis vs F670

## 2025-04-15 19:03:12.433952 INFO::Creating boxplot for categorical data, diagnosis vs F632

## 2025-04-15 19:03:12.616869 INFO::Creating boxplot for categorical data, diagnosis vs F721

## 2025-04-15 19:03:12.784012 INFO::Creating boxplot for categorical data, diagnosis vs F700

## 2025-04-15 19:03:12.95019 INFO::Creating boxplot for categorical data, diagnosis vs F376

## 2025-04-15 19:03:13.120339 INFO::Creating boxplot for categorical data, diagnosis vs F301

## 2025-04-15 19:03:13.289016 INFO::Creating boxplot for categorical data, diagnosis vs F27

## 2025-04-15 19:03:13.462439 INFO::Creating boxplot for categorical data, diagnosis vs F280

## 2025-04-15 19:03:13.627818 INFO::Creating boxplot for categorical data, diagnosis vs F391

## 2025-04-15 19:03:13.79607 INFO::Creating boxplot for categorical data, diagnosis vs F725

## 2025-04-15 19:03:13.966859 INFO::Creating boxplot for categorical data, diagnosis vs F186

## 2025-04-15 19:03:14.148787 INFO::Creating boxplot for categorical data, diagnosis vs F481

## 2025-04-15 19:03:14.314329 INFO::Creating boxplot for categorical data, diagnosis vs F333

## 2025-04-15 19:03:14.479913 INFO::Creating boxplot for categorical data, diagnosis vs F720

## 2025-04-15 19:03:14.648089 INFO::Creating boxplot for categorical data, diagnosis vs F520

## 2025-04-15 19:03:14.823607 INFO::Creating boxplot for categorical data, diagnosis vs F129

## 2025-04-15 19:03:15.006193 INFO::Creating boxplot for categorical data, diagnosis vs F204

## 2025-04-15 19:03:15.175558 INFO::Creating boxplot for categorical data, diagnosis vs F259

## 2025-04-15 19:03:15.343583 INFO::Creating boxplot for categorical data, diagnosis vs F831

## 2025-04-15 19:03:15.517143 INFO::Creating boxplot for categorical data, diagnosis vs F891

## 2025-04-15 19:03:15.69096 INFO::Creating boxplot for categorical data, diagnosis vs F262

## 2025-04-15 19:03:15.874828 INFO::Creating boxplot for categorical data, diagnosis vs F592

## 2025-04-15 19:03:16.04195 INFO::Creating boxplot for categorical data, diagnosis vs F343

## 2025-04-15 19:03:16.20896 INFO::Creating boxplot for categorical data, diagnosis vs F505

## 2025-04-15 19:03:16.38204 INFO::Creating boxplot for categorical data, diagnosis vs F622

## 2025-04-15 19:03:16.554573 INFO::Creating boxplot for categorical data, diagnosis vs F348

## 2025-04-15 19:03:16.728639 INFO::Creating boxplot for categorical data, diagnosis vs F133

## 2025-04-15 19:03:16.892554 INFO::Creating boxplot for categorical data, diagnosis vs F371

## 2025-04-15 19:03:17.062834 INFO::Creating boxplot for categorical data, diagnosis vs F113

## 2025-04-15 19:03:17.231692 INFO::Creating boxplot for categorical data, diagnosis vs F336

## 2025-04-15 19:03:17.440218 INFO::Creating boxplot for categorical data, diagnosis vs F399

## 2025-04-15 19:03:17.609516 INFO::Creating boxplot for categorical data, diagnosis vs F416

## 2025-04-15 19:03:17.77888 INFO::Creating boxplot for categorical data, diagnosis vs F657

## 2025-04-15 19:03:17.948138 INFO::Creating boxplot for categorical data, diagnosis vs F241

## 2025-04-15 19:03:18.120982 INFO::Creating boxplot for categorical data, diagnosis vs F95

## 2025-04-15 19:03:18.30894 INFO::Creating boxplot for categorical data, diagnosis vs F128

## 2025-04-15 19:03:18.479868 INFO::Creating boxplot for categorical data, diagnosis vs F595

## 2025-04-15 19:03:18.64957 INFO::Creating boxplot for categorical data, diagnosis vs F428

## 2025-04-15 19:03:18.819139 INFO::Creating boxplot for categorical data, diagnosis vs F796

## 2025-04-15 19:03:18.989832 INFO::Creating boxplot for categorical data, diagnosis vs F709

## 2025-04-15 19:03:19.17577 INFO::Creating boxplot for categorical data, diagnosis vs F602

## 2025-04-15 19:03:19.34386 INFO::Creating boxplot for categorical data, diagnosis vs F293

## 2025-04-15 19:03:19.508992 INFO::Creating boxplot for categorical data, diagnosis vs F867

## 2025-04-15 19:03:19.67594 INFO::Creating boxplot for categorical data, diagnosis vs F108

## 2025-04-15 19:03:19.843903 INFO::Creating boxplot for categorical data, diagnosis vs F846

## 2025-04-15 19:03:20.029919 INFO::Creating boxplot for categorical data, diagnosis vs F633

## 2025-04-15 19:03:20.197299 INFO::Creating boxplot for categorical data, diagnosis vs F564

## 2025-04-15 19:03:20.365514 INFO::Creating boxplot for categorical data, diagnosis vs F183

## 2025-04-15 19:03:20.538079 INFO::Creating boxplot for categorical data, diagnosis vs F647

## 2025-04-15 19:03:20.714502 INFO::Creating boxplot for categorical data, diagnosis vs F288

## 2025-04-15 19:03:20.907696 INFO::Creating boxplot for categorical data, diagnosis vs F159

## 2025-04-15 19:03:21.077733 INFO::Creating boxplot for categorical data, diagnosis vs F638

## 2025-04-15 19:03:21.245661 INFO::Creating boxplot for categorical data, diagnosis vs F484

## 2025-04-15 19:03:21.414271 INFO::Creating boxplot for categorical data, diagnosis vs F20

## 2025-04-15 19:03:21.584918 INFO::Creating boxplot for categorical data, diagnosis vs F19

## 2025-04-15 19:03:21.770005 INFO::Creating boxplot for categorical data, diagnosis vs F897

## 2025-04-15 19:03:21.938973 INFO::Creating boxplot for categorical data, diagnosis vs F442

## 2025-04-15 19:03:22.10892 INFO::Creating boxplot for categorical data, diagnosis vs F372

## 2025-04-15 19:03:22.278517 INFO::Creating boxplot for categorical data, diagnosis vs F771

## 2025-04-15 19:03:22.452805 INFO::Creating boxplot for categorical data, diagnosis vs F370

## 2025-04-15 19:03:22.643229 INFO::Creating boxplot for categorical data, diagnosis vs F620

## 2025-04-15 19:03:22.812236 INFO::Creating boxplot for categorical data, diagnosis vs F753

## 2025-04-15 19:03:22.983685 INFO::Creating boxplot for categorical data, diagnosis vs F568

## 2025-04-15 19:03:23.156219 INFO::Creating boxplot for categorical data, diagnosis vs F312

## 2025-04-15 19:03:23.348572 INFO::Creating boxplot for categorical data, diagnosis vs F485

## 2025-04-15 19:03:23.540908 INFO::Creating boxplot for categorical data, diagnosis vs F627

## 2025-04-15 19:03:23.706693 INFO::Creating boxplot for categorical data, diagnosis vs F72

## 2025-04-15 19:03:23.876293 INFO::Creating boxplot for categorical data, diagnosis vs F575

## 2025-04-15 19:03:24.057898 INFO::Creating boxplot for categorical data, diagnosis vs F332

## 2025-04-15 19:03:24.262792 INFO::Creating boxplot for categorical data, diagnosis vs F674

## 2025-04-15 19:03:24.441163 INFO::Creating boxplot for categorical data, diagnosis vs F537

## 2025-04-15 19:03:24.617681 INFO::Creating boxplot for categorical data, diagnosis vs F839

## 2025-04-15 19:03:24.799197 INFO::Creating boxplot for categorical data, diagnosis vs F715

## 2025-04-15 19:03:24.981724 INFO::Creating boxplot for categorical data, diagnosis vs F768

## 2025-04-15 19:03:25.172323 INFO::Creating boxplot for categorical data, diagnosis vs F202

## 2025-04-15 19:03:25.344484 INFO::Creating boxplot for categorical data, diagnosis vs F756

## 2025-04-15 19:03:25.51195 INFO::Creating boxplot for categorical data, diagnosis vs F536

## 2025-04-15 19:03:25.688392 INFO::Creating boxplot for categorical data, diagnosis vs F677

## 2025-04-15 19:03:25.863306 INFO::Creating boxplot for categorical data, diagnosis vs F435

## 2025-04-15 19:03:26.061082 INFO::Creating boxplot for categorical data, diagnosis vs F574

## 2025-04-15 19:03:26.2338 INFO::Creating boxplot for categorical data, diagnosis vs F70

## 2025-04-15 19:03:26.405959 INFO::Creating boxplot for categorical data, diagnosis vs F146

## 2025-04-15 19:03:26.582385 INFO::Creating boxplot for categorical data, diagnosis vs F236

## 2025-04-15 19:03:26.766712 INFO::Creating boxplot for categorical data, diagnosis vs F527

## 2025-04-15 19:03:26.957956 INFO::Creating boxplot for categorical data, diagnosis vs F624

## 2025-04-15 19:03:27.128546 INFO::Creating boxplot for categorical data, diagnosis vs F426

## 2025-04-15 19:03:27.303883 INFO::Creating boxplot for categorical data, diagnosis vs F880

## 2025-04-15 19:03:27.476069 INFO::Creating boxplot for categorical data, diagnosis vs F549

## 2025-04-15 19:03:27.661402 INFO::Creating boxplot for categorical data, diagnosis vs F49

## 2025-04-15 19:03:27.838607 INFO::Creating boxplot for categorical data, diagnosis vs F67

## 2025-04-15 19:03:28.020699 INFO::Creating boxplot for categorical data, diagnosis vs F491

## 2025-04-15 19:03:28.210477 INFO::Creating boxplot for categorical data, diagnosis vs F174

## 2025-04-15 19:03:28.385827 INFO::Creating boxplot for categorical data, diagnosis vs F254

## 2025-04-15 19:03:28.578372 INFO::Creating boxplot for categorical data, diagnosis vs F112

## 2025-04-15 19:03:28.749604 INFO::Creating boxplot for categorical data, diagnosis vs F235

## 2025-04-15 19:03:28.918425 INFO::Creating boxplot for categorical data, diagnosis vs F833

## 2025-04-15 19:03:29.095732 INFO::Creating boxplot for categorical data, diagnosis vs F752

## 2025-04-15 19:03:29.273362 INFO::Creating boxplot for categorical data, diagnosis vs F792

## 2025-04-15 19:03:29.462318 INFO::Creating boxplot for categorical data, diagnosis vs F422

## 2025-04-15 19:03:29.628463 INFO::Creating boxplot for categorical data, diagnosis vs F6

## 2025-04-15 19:03:29.793846 INFO::Creating boxplot for categorical data, diagnosis vs F463

## 2025-04-15 19:03:29.965694 INFO::Creating boxplot for categorical data, diagnosis vs F706

## 2025-04-15 19:03:30.137792 INFO::Creating boxplot for categorical data, diagnosis vs F642

## 2025-04-15 19:03:30.328719 INFO::Creating boxplot for categorical data, diagnosis vs F65

## 2025-04-15 19:03:30.496392 INFO::Creating boxplot for categorical data, diagnosis vs F102

## 2025-04-15 19:03:30.662314 INFO::Creating boxplot for categorical data, diagnosis vs F783

## 2025-04-15 19:03:30.830119 INFO::Creating boxplot for categorical data, diagnosis vs F478

## 2025-04-15 19:03:31.014415 INFO::Creating boxplot for categorical data, diagnosis vs F889

## 2025-04-15 19:03:31.192569 INFO::Creating boxplot for categorical data, diagnosis vs F350

## 2025-04-15 19:03:31.365028 INFO::Creating boxplot for categorical data, diagnosis vs F681

## 2025-04-15 19:03:31.532657 INFO::Creating boxplot for categorical data, diagnosis vs F748

## 2025-04-15 19:03:31.707044 INFO::Creating boxplot for categorical data, diagnosis vs F762

## 2025-04-15 19:03:31.926145 INFO::Creating boxplot for categorical data, diagnosis vs F852

## 2025-04-15 19:03:32.112072 INFO::Creating boxplot for categorical data, diagnosis vs F180

## 2025-04-15 19:03:32.293881 INFO::Creating boxplot for categorical data, diagnosis vs F248

## 2025-04-15 19:03:32.466275 INFO::Creating boxplot for categorical data, diagnosis vs F759

## 2025-04-15 19:03:32.641736 INFO::Creating boxplot for categorical data, diagnosis vs F824

## 2025-04-15 19:03:32.832704 INFO::Creating boxplot for categorical data, diagnosis vs F145

## 2025-04-15 19:03:33.000328 INFO::Creating boxplot for categorical data, diagnosis vs F16

## 2025-04-15 19:03:33.166061 INFO::Creating boxplot for categorical data, diagnosis vs F169

## 2025-04-15 19:03:33.336517 INFO::Creating boxplot for categorical data, diagnosis vs F392

## 2025-04-15 19:03:33.510158 INFO::Creating boxplot for categorical data, diagnosis vs F468

## 2025-04-15 19:03:33.695818 INFO::Creating boxplot for categorical data, diagnosis vs F476

## 2025-04-15 19:03:33.86267 INFO::Creating boxplot for categorical data, diagnosis vs F699

## 2025-04-15 19:03:34.029873 INFO::Creating boxplot for categorical data, diagnosis vs F735

## 2025-04-15 19:03:34.202702 INFO::Creating boxplot for categorical data, diagnosis vs F182

## 2025-04-15 19:03:34.397649 INFO::Creating boxplot for categorical data, diagnosis vs F64

## 2025-04-15 19:03:34.566115 INFO::Creating boxplot for categorical data, diagnosis vs F203

## 2025-04-15 19:03:34.732121 INFO::Creating boxplot for categorical data, diagnosis vs F877

## 2025-04-15 19:03:34.902812 INFO::Creating boxplot for categorical data, diagnosis vs F433

## 2025-04-15 19:03:35.076225 INFO::Creating boxplot for categorical data, diagnosis vs F739

## 2025-04-15 19:03:35.315334 INFO::Creating boxplot for categorical data, diagnosis vs F749

## 2025-04-15 19:03:35.487207 INFO::Creating boxplot for categorical data, diagnosis vs F382

## 2025-04-15 19:03:35.657499 INFO::Creating boxplot for categorical data, diagnosis vs F162

## 2025-04-15 19:03:35.8471 INFO::Creating boxplot for categorical data, diagnosis vs F438

## 2025-04-15 19:03:36.038659 INFO::Creating boxplot for categorical data, diagnosis vs F360

## 2025-04-15 19:03:36.242462 INFO::Creating boxplot for categorical data, diagnosis vs F56

## 2025-04-15 19:03:36.41839 INFO::Creating boxplot for categorical data, diagnosis vs F529

## 2025-04-15 19:03:36.593624 INFO::Creating boxplot for categorical data, diagnosis vs F48

## 2025-04-15 19:03:36.772818 INFO::Creating boxplot for categorical data, diagnosis vs F826

## 2025-04-15 19:03:36.94617 INFO::Creating boxplot for categorical data, diagnosis vs F488

## 2025-04-15 19:03:37.134408 INFO::Creating boxplot for categorical data, diagnosis vs F309

## 2025-04-15 19:03:37.307165 INFO::Creating boxplot for categorical data, diagnosis vs F834

## 2025-04-15 19:03:37.479815 INFO::Creating boxplot for categorical data, diagnosis vs F449

## 2025-04-15 19:03:37.657338 INFO::Creating boxplot for categorical data, diagnosis vs F77

## 2025-04-15 19:03:37.833777 INFO::Creating boxplot for categorical data, diagnosis vs F365

## 2025-04-15 19:03:38.029058 INFO::Creating boxplot for categorical data, diagnosis vs F346

## 2025-04-15 19:03:38.210342 INFO::Creating boxplot for categorical data, diagnosis vs F654

## 2025-04-15 19:03:38.385535 INFO::Creating boxplot for categorical data, diagnosis vs F79

## 2025-04-15 19:03:38.558431 INFO::Creating boxplot for categorical data, diagnosis vs F785

## 2025-04-15 19:03:38.748316 INFO::Creating boxplot for categorical data, diagnosis vs F415

## 2025-04-15 19:03:38.928324 INFO::Creating boxplot for categorical data, diagnosis vs F466

## 2025-04-15 19:03:39.103703 INFO::Creating boxplot for categorical data, diagnosis vs F643

## 2025-04-15 19:03:39.279266 INFO::Creating boxplot for categorical data, diagnosis vs F160

## 2025-04-15 19:03:39.457746 INFO::Creating boxplot for categorical data, diagnosis vs F69

## 2025-04-15 19:03:39.643018 INFO::Creating boxplot for categorical data, diagnosis vs F498

## 2025-04-15 19:03:39.817118 INFO::Creating boxplot for categorical data, diagnosis vs F207

## 2025-04-15 19:03:39.988765 INFO::Creating boxplot for categorical data, diagnosis vs F679

## 2025-04-15 19:03:40.16118 INFO::Creating boxplot for categorical data, diagnosis vs F618

## 2025-04-15 19:03:40.332723 INFO::Creating boxplot for categorical data, diagnosis vs F255

## 2025-04-15 19:03:40.518561 INFO::Creating boxplot for categorical data, diagnosis vs F267

## 2025-04-15 19:03:40.694359 INFO::Creating boxplot for categorical data, diagnosis vs F143

## 2025-04-15 19:03:40.867954 INFO::Creating boxplot for categorical data, diagnosis vs F286

## 2025-04-15 19:03:41.042314 INFO::Creating boxplot for categorical data, diagnosis vs F562

## 2025-04-15 19:03:41.217357 INFO::Creating boxplot for categorical data, diagnosis vs F100

## 2025-04-15 19:03:41.4175 INFO::Creating boxplot for categorical data, diagnosis vs F374

## 2025-04-15 19:03:41.598708 INFO::Creating boxplot for categorical data, diagnosis vs F535

## 2025-04-15 19:03:41.768508 INFO::Creating boxplot for categorical data, diagnosis vs F658

## 2025-04-15 19:03:41.941727 INFO::Creating boxplot for categorical data, diagnosis vs F707

## 2025-04-15 19:03:42.113582 INFO::Creating boxplot for categorical data, diagnosis vs F325

## 2025-04-15 19:03:42.300415 INFO::Creating boxplot for categorical data, diagnosis vs F89

## 2025-04-15 19:03:42.473024 INFO::Creating boxplot for categorical data, diagnosis vs F214

## 2025-04-15 19:03:42.644349 INFO::Creating boxplot for categorical data, diagnosis vs F578

## 2025-04-15 19:03:42.817016 INFO::Creating boxplot for categorical data, diagnosis vs F790

## 2025-04-15 19:03:42.99171 INFO::Creating boxplot for categorical data, diagnosis vs F265

## 2025-04-15 19:03:43.185121 INFO::Creating boxplot for categorical data, diagnosis vs F253

## 2025-04-15 19:03:43.362988 INFO::Creating boxplot for categorical data, diagnosis vs F294

## 2025-04-15 19:03:43.541485 INFO::Creating boxplot for categorical data, diagnosis vs F410

## 2025-04-15 19:03:43.721221 INFO::Creating boxplot for categorical data, diagnosis vs F614

## 2025-04-15 19:03:43.915319 INFO::Creating boxplot for categorical data, diagnosis vs F764

## 2025-04-15 19:03:44.093312 INFO::Creating boxplot for categorical data, diagnosis vs F59

## 2025-04-15 19:03:44.261986 INFO::Creating boxplot for categorical data, diagnosis vs F675

## 2025-04-15 19:03:44.435535 INFO::Creating boxplot for categorical data, diagnosis vs F441

## 2025-04-15 19:03:44.611561 INFO::Creating boxplot for categorical data, diagnosis vs F193

## 2025-04-15 19:03:44.798861 INFO::Creating boxplot for categorical data, diagnosis vs F689

## 2025-04-15 19:03:44.976963 INFO::Creating boxplot for categorical data, diagnosis vs F249

## 2025-04-15 19:03:45.149141 INFO::Creating boxplot for categorical data, diagnosis vs F821

## 2025-04-15 19:03:45.322877 INFO::Creating boxplot for categorical data, diagnosis vs F351

## 2025-04-15 19:03:45.496761 INFO::Creating boxplot for categorical data, diagnosis vs F66

## 2025-04-15 19:03:45.690218 INFO::Creating boxplot for categorical data, diagnosis vs F413

## 2025-04-15 19:03:45.86878 INFO::Creating boxplot for categorical data, diagnosis vs F172

## 2025-04-15 19:03:46.044717 INFO::Creating boxplot for categorical data, diagnosis vs F317

## 2025-04-15 19:03:46.217978 INFO::Creating boxplot for categorical data, diagnosis vs F167

## 2025-04-15 19:03:46.395745 INFO::Creating boxplot for categorical data, diagnosis vs F229

## 2025-04-15 19:03:46.589562 INFO::Creating boxplot for categorical data, diagnosis vs F243

## 2025-04-15 19:03:46.770608 INFO::Creating boxplot for categorical data, diagnosis vs F732

## 2025-04-15 19:03:46.944391 INFO::Creating boxplot for categorical data, diagnosis vs F467

## 2025-04-15 19:03:47.115836 INFO::Creating boxplot for categorical data, diagnosis vs F474

## 2025-04-15 19:03:47.304474 INFO::Creating boxplot for categorical data, diagnosis vs F156

## 2025-04-15 19:03:47.479457 INFO::Creating boxplot for categorical data, diagnosis vs F786

## 2025-04-15 19:03:47.652986 INFO::Creating boxplot for categorical data, diagnosis vs F216

## 2025-04-15 19:03:47.82964 INFO::Creating boxplot for categorical data, diagnosis vs F85

## 2025-04-15 19:03:48.002723 INFO::Creating boxplot for categorical data, diagnosis vs F621

## 2025-04-15 19:03:48.190078 INFO::Creating boxplot for categorical data, diagnosis vs F558

## 2025-04-15 19:03:48.367631 INFO::Creating boxplot for categorical data, diagnosis vs F582

## 2025-04-15 19:03:48.545792 INFO::Creating boxplot for categorical data, diagnosis vs F898

## 2025-04-15 19:03:48.72737 INFO::Creating boxplot for categorical data, diagnosis vs F402

## 2025-04-15 19:03:48.904475 INFO::Creating boxplot for categorical data, diagnosis vs F71

## 2025-04-15 19:03:49.099019 INFO::Creating boxplot for categorical data, diagnosis vs F99

## 2025-04-15 19:03:49.274335 INFO::Creating boxplot for categorical data, diagnosis vs F366

## 2025-04-15 19:03:49.440389 INFO::Creating boxplot for categorical data, diagnosis vs F778

## 2025-04-15 19:03:49.608927 INFO::Creating boxplot for categorical data, diagnosis vs F188

## 2025-04-15 19:03:49.78072 INFO::Creating boxplot for categorical data, diagnosis vs F857

## 2025-04-15 19:03:49.969165 INFO::Creating boxplot for categorical data, diagnosis vs F440

## 2025-04-15 19:03:50.143299 INFO::Creating boxplot for categorical data, diagnosis vs F799

## 2025-04-15 19:03:50.316221 INFO::Creating boxplot for categorical data, diagnosis vs F482

## 2025-04-15 19:03:50.486042 INFO::Creating boxplot for categorical data, diagnosis vs F212

## 2025-04-15 19:03:50.667951 INFO::Creating boxplot for categorical data, diagnosis vs F882

## 2025-04-15 19:03:50.841315 INFO::Creating boxplot for categorical data, diagnosis vs F599

## 2025-04-15 19:03:51.010627 INFO::Creating boxplot for categorical data, diagnosis vs F302

## 2025-04-15 19:03:51.180038 INFO::Creating boxplot for categorical data, diagnosis vs F543

## 2025-04-15 19:03:51.350847 INFO::Creating boxplot for categorical data, diagnosis vs F269

## 2025-04-15 19:03:51.538605 INFO::Creating boxplot for categorical data, diagnosis vs F650

## 2025-04-15 19:03:51.709363 INFO::Creating boxplot for categorical data, diagnosis vs F456

## 2025-04-15 19:03:51.874774 INFO::Creating boxplot for categorical data, diagnosis vs F573

## 2025-04-15 19:03:52.048505 INFO::Creating boxplot for categorical data, diagnosis vs F8

## 2025-04-15 19:03:52.221574 INFO::Creating boxplot for categorical data, diagnosis vs F810

## 2025-04-15 19:03:52.40663 INFO::Creating boxplot for categorical data, diagnosis vs F401

## 2025-04-15 19:03:52.578005 INFO::Creating boxplot for categorical data, diagnosis vs F606

## 2025-04-15 19:03:52.749019 INFO::Creating boxplot for categorical data, diagnosis vs F662

## 2025-04-15 19:03:52.921417 INFO::Creating boxplot for categorical data, diagnosis vs F765

## 2025-04-15 19:03:53.145328 INFO::Creating boxplot for categorical data, diagnosis vs F887

## 2025-04-15 19:03:53.347227 INFO::Creating boxplot for categorical data, diagnosis vs F770

## 2025-04-15 19:03:53.535154 INFO::Creating boxplot for categorical data, diagnosis vs F469

## 2025-04-15 19:03:53.717793 INFO::Creating boxplot for categorical data, diagnosis vs F86

## 2025-04-15 19:03:53.896864 INFO::Creating boxplot for categorical data, diagnosis vs F400

## 2025-04-15 19:03:54.092653 INFO::Creating boxplot for categorical data, diagnosis vs F579

## 2025-04-15 19:03:54.266173 INFO::Creating boxplot for categorical data, diagnosis vs F871

## 2025-04-15 19:03:54.43874 INFO::Creating boxplot for categorical data, diagnosis vs F37

## 2025-04-15 19:03:54.612726 INFO::Creating boxplot for categorical data, diagnosis vs F446

## 2025-04-15 19:03:54.789816 INFO::Creating boxplot for categorical data, diagnosis vs F218

## 2025-04-15 19:03:54.983588 INFO::Creating boxplot for categorical data, diagnosis vs F321

## 2025-04-15 19:03:55.157538 INFO::Creating boxplot for categorical data, diagnosis vs F487

## 2025-04-15 19:03:55.332175 INFO::Creating boxplot for categorical data, diagnosis vs F740

## 2025-04-15 19:03:55.506435 INFO::Creating boxplot for categorical data, diagnosis vs F141

## 2025-04-15 19:03:55.67797 INFO::Creating boxplot for categorical data, diagnosis vs F327

## 2025-04-15 19:03:55.869757 INFO::Creating boxplot for categorical data, diagnosis vs F196

## 2025-04-15 19:03:56.042722 INFO::Creating boxplot for categorical data, diagnosis vs F883

## 2025-04-15 19:03:56.214936 INFO::Creating boxplot for categorical data, diagnosis vs F279

## 2025-04-15 19:03:56.388554 INFO::Creating boxplot for categorical data, diagnosis vs F838

## 2025-04-15 19:03:56.563874 INFO::Creating boxplot for categorical data, diagnosis vs F451

## 2025-04-15 19:03:56.764587 INFO::Creating boxplot for categorical data, diagnosis vs F854

## 2025-04-15 19:03:56.943851 INFO::Creating boxplot for categorical data, diagnosis vs F434

## 2025-04-15 19:03:57.124923 INFO::Creating boxplot for categorical data, diagnosis vs F519

## 2025-04-15 19:03:57.311579 INFO::Creating boxplot for categorical data, diagnosis vs F694

## 2025-04-15 19:03:57.487451 INFO::Creating boxplot for categorical data, diagnosis vs F561

## 2025-04-15 19:03:57.683753 INFO::Creating boxplot for categorical data, diagnosis vs F10

## 2025-04-15 19:03:57.871164 INFO::Creating boxplot for categorical data, diagnosis vs F303

## 2025-04-15 19:03:58.042568 INFO::Creating boxplot for categorical data, diagnosis vs F512

## 2025-04-15 19:03:58.228896 INFO::Creating boxplot for categorical data, diagnosis vs F645

## 2025-04-15 19:03:58.429762 INFO::Creating boxplot for categorical data, diagnosis vs F793

## 2025-04-15 19:03:58.618272 INFO::Creating boxplot for categorical data, diagnosis vs F404

## 2025-04-15 19:03:58.792769 INFO::Creating boxplot for categorical data, diagnosis vs F362

## 2025-04-15 19:03:58.973031 INFO::Creating boxplot for categorical data, diagnosis vs F525

## 2025-04-15 19:03:59.149311 INFO::Creating boxplot for categorical data, diagnosis vs F742

## 2025-04-15 19:03:59.348409 INFO::Creating boxplot for categorical data, diagnosis vs F276

## 2025-04-15 19:03:59.532335 INFO::Creating boxplot for categorical data, diagnosis vs F499

## 2025-04-15 19:03:59.704986 INFO::Creating boxplot for categorical data, diagnosis vs F328

## 2025-04-15 19:03:59.883371 INFO::Creating boxplot for categorical data, diagnosis vs F787

## 2025-04-15 19:04:00.066357 INFO::Creating boxplot for categorical data, diagnosis vs F30

## 2025-04-15 19:04:00.261906 INFO::Creating boxplot for categorical data, diagnosis vs F122

## 2025-04-15 19:04:00.436727 INFO::Creating boxplot for categorical data, diagnosis vs F619

## 2025-04-15 19:04:00.613031 INFO::Creating boxplot for categorical data, diagnosis vs F572

## 2025-04-15 19:04:00.786277 INFO::Creating boxplot for categorical data, diagnosis vs F47

## 2025-04-15 19:04:00.95904 INFO::Creating boxplot for categorical data, diagnosis vs F570

## 2025-04-15 19:04:01.153225 INFO::Creating boxplot for categorical data, diagnosis vs F26

## 2025-04-15 19:04:01.327258 INFO::Creating boxplot for categorical data, diagnosis vs F252

## 2025-04-15 19:04:01.502251 INFO::Creating boxplot for categorical data, diagnosis vs F117

## 2025-04-15 19:04:01.675197 INFO::Creating boxplot for categorical data, diagnosis vs F683

## 2025-04-15 19:04:01.851548 INFO::Creating boxplot for categorical data, diagnosis vs F395

## 2025-04-15 19:04:02.055553 INFO::Creating boxplot for categorical data, diagnosis vs F822

## 2025-04-15 19:04:02.233373 INFO::Creating boxplot for categorical data, diagnosis vs F46

## 2025-04-15 19:04:02.404757 INFO::Creating boxplot for categorical data, diagnosis vs F154

## 2025-04-15 19:04:02.579175 INFO::Creating boxplot for categorical data, diagnosis vs F540

## 2025-04-15 19:04:02.77436 INFO::Creating boxplot for categorical data, diagnosis vs F884

## 2025-04-15 19:04:02.955085 INFO::Creating boxplot for categorical data, diagnosis vs F368

## 2025-04-15 19:04:03.136546 INFO::Creating boxplot for categorical data, diagnosis vs F607

## 2025-04-15 19:04:03.316056 INFO::Creating boxplot for categorical data, diagnosis vs F111

## 2025-04-15 19:04:03.499895 INFO::Creating boxplot for categorical data, diagnosis vs F745

## 2025-04-15 19:04:03.702676 INFO::Creating boxplot for categorical data, diagnosis vs F673

## 2025-04-15 19:04:03.883364 INFO::Creating boxplot for categorical data, diagnosis vs F92

## 2025-04-15 19:04:04.06189 INFO::Creating boxplot for categorical data, diagnosis vs F493

## 2025-04-15 19:04:04.238564 INFO::Creating boxplot for categorical data, diagnosis vs F835

## 2025-04-15 19:04:04.422618 INFO::Creating boxplot for categorical data, diagnosis vs F872

## 2025-04-15 19:04:04.620601 INFO::Creating boxplot for categorical data, diagnosis vs F879

## 2025-04-15 19:04:04.79744 INFO::Creating boxplot for categorical data, diagnosis vs F432

## 2025-04-15 19:04:04.979158 INFO::Creating boxplot for categorical data, diagnosis vs F518

## 2025-04-15 19:04:05.153993 INFO::Creating boxplot for categorical data, diagnosis vs F44

## 2025-04-15 19:04:05.339123 INFO::Creating boxplot for categorical data, diagnosis vs F240

## 2025-04-15 19:04:05.540508 INFO::Creating boxplot for categorical data, diagnosis vs F819

## 2025-04-15 19:04:05.725576 INFO::Creating boxplot for categorical data, diagnosis vs F411

## 2025-04-15 19:04:05.913126 INFO::Creating boxplot for categorical data, diagnosis vs F353

## 2025-04-15 19:04:06.093832 INFO::Creating boxplot for categorical data, diagnosis vs F763

## 2025-04-15 19:04:06.291602 INFO::Creating boxplot for categorical data, diagnosis vs F97

## 2025-04-15 19:04:06.469205 INFO::Creating boxplot for categorical data, diagnosis vs F40

## 2025-04-15 19:04:06.64625 INFO::Creating boxplot for categorical data, diagnosis vs F652

## 2025-04-15 19:04:06.823033 INFO::Creating boxplot for categorical data, diagnosis vs F789

## 2025-04-15 19:04:07.003255 INFO::Creating boxplot for categorical data, diagnosis vs F25

## 2025-04-15 19:04:07.204071 INFO::Creating boxplot for categorical data, diagnosis vs F256

## 2025-04-15 19:04:07.388573 INFO::Creating boxplot for categorical data, diagnosis vs F423

## 2025-04-15 19:04:07.570621 INFO::Creating boxplot for categorical data, diagnosis vs F594

## 2025-04-15 19:04:07.751274 INFO::Creating boxplot for categorical data, diagnosis vs F201

## 2025-04-15 19:04:07.934024 INFO::Creating boxplot for categorical data, diagnosis vs F813

## 2025-04-15 19:04:08.138608 INFO::Creating boxplot for categorical data, diagnosis vs F653

## 2025-04-15 19:04:08.318949 INFO::Creating boxplot for categorical data, diagnosis vs F524

## 2025-04-15 19:04:08.498733 INFO::Creating boxplot for categorical data, diagnosis vs F777

## 2025-04-15 19:04:08.686199 INFO::Creating boxplot for categorical data, diagnosis vs F226

## 2025-04-15 19:04:08.891315 INFO::Creating boxplot for categorical data, diagnosis vs F227

## 2025-04-15 19:04:09.066044 INFO::Creating boxplot for categorical data, diagnosis vs F521

## 2025-04-15 19:04:09.236188 INFO::Creating boxplot for categorical data, diagnosis vs F14

## 2025-04-15 19:04:09.406182 INFO::Creating boxplot for categorical data, diagnosis vs F310

## 2025-04-15 19:04:09.581874 INFO::Creating boxplot for categorical data, diagnosis vs F452

## 2025-04-15 19:04:09.782034 INFO::Creating boxplot for categorical data, diagnosis vs F52

## 2025-04-15 19:04:09.958086 INFO::Creating boxplot for categorical data, diagnosis vs F53

## 2025-04-15 19:04:10.132539 INFO::Creating boxplot for categorical data, diagnosis vs F844

## 2025-04-15 19:04:10.312317 INFO::Creating boxplot for categorical data, diagnosis vs F31

## 2025-04-15 19:04:10.493323 INFO::Creating boxplot for categorical data, diagnosis vs F795

## 2025-04-15 19:04:10.696893 INFO::Creating boxplot for categorical data, diagnosis vs F766

## 2025-04-15 19:04:10.876774 INFO::Creating boxplot for categorical data, diagnosis vs F342

## 2025-04-15 19:04:11.058396 INFO::Creating boxplot for categorical data, diagnosis vs F408

## 2025-04-15 19:04:11.23851 INFO::Creating boxplot for categorical data, diagnosis vs F282

## 2025-04-15 19:04:11.488169 INFO::Creating boxplot for categorical data, diagnosis vs F508

## 2025-04-15 19:04:11.668143 INFO::Creating boxplot for categorical data, diagnosis vs F805

## 2025-04-15 19:04:11.845512 INFO::Creating boxplot for categorical data, diagnosis vs F337

## 2025-04-15 19:04:12.025981 INFO::Creating boxplot for categorical data, diagnosis vs F820

## 2025-04-15 19:04:12.202554 INFO::Creating boxplot for categorical data, diagnosis vs F593

## 2025-04-15 19:04:12.395322 INFO::Creating boxplot for categorical data, diagnosis vs F701

## 2025-04-15 19:04:12.572661 INFO::Creating boxplot for categorical data, diagnosis vs F459

## 2025-04-15 19:04:12.746736 INFO::Creating boxplot for categorical data, diagnosis vs F305

## 2025-04-15 19:04:12.928572 INFO::Creating boxplot for categorical data, diagnosis vs F142

## 2025-04-15 19:04:13.106012 INFO::Creating boxplot for categorical data, diagnosis vs F534

## 2025-04-15 19:04:13.30224 INFO::Creating boxplot for categorical data, diagnosis vs F135

## 2025-04-15 19:04:13.47926 INFO::Creating boxplot for categorical data, diagnosis vs F702

## 2025-04-15 19:04:13.657981 INFO::Creating boxplot for categorical data, diagnosis vs F776

## 2025-04-15 19:04:13.837513 INFO::Creating boxplot for categorical data, diagnosis vs F295

## 2025-04-15 19:04:14.015115 INFO::Creating boxplot for categorical data, diagnosis vs F355

## 2025-04-15 19:04:14.208114 INFO::Creating boxplot for categorical data, diagnosis vs F797

## 2025-04-15 19:04:14.386397 INFO::Creating boxplot for categorical data, diagnosis vs F13

## 2025-04-15 19:04:14.56671 INFO::Creating boxplot for categorical data, diagnosis vs F356

## 2025-04-15 19:04:14.75034 INFO::Creating boxplot for categorical data, diagnosis vs F359

## 2025-04-15 19:04:14.925365 INFO::Creating boxplot for categorical data, diagnosis vs F121

## 2025-04-15 19:04:15.130215 INFO::Creating boxplot for categorical data, diagnosis vs F850

## 2025-04-15 19:04:15.319077 INFO::Creating boxplot for categorical data, diagnosis vs F899

## 2025-04-15 19:04:15.502431 INFO::Creating boxplot for categorical data, diagnosis vs F628

## 2025-04-15 19:04:15.684779 INFO::Creating boxplot for categorical data, diagnosis vs F843

## 2025-04-15 19:04:15.872048 INFO::Creating boxplot for categorical data, diagnosis vs F107

## 2025-04-15 19:04:16.078148 INFO::Creating boxplot for categorical data, diagnosis vs F287

## 2025-04-15 19:04:16.263664 INFO::Creating boxplot for categorical data, diagnosis vs F165

## 2025-04-15 19:04:16.451113 INFO::Creating boxplot for categorical data, diagnosis vs F557

## 2025-04-15 19:04:16.644124 INFO::Creating boxplot for categorical data, diagnosis vs F127

## 2025-04-15 19:04:16.852526 INFO::Creating boxplot for categorical data, diagnosis vs F299

## 2025-04-15 19:04:17.058563 INFO::Creating boxplot for categorical data, diagnosis vs F497

## 2025-04-15 19:04:17.253722 INFO::Creating boxplot for categorical data, diagnosis vs F711

## 2025-04-15 19:04:17.4346 INFO::Creating boxplot for categorical data, diagnosis vs F319

## 2025-04-15 19:04:17.609527 INFO::Creating boxplot for categorical data, diagnosis vs F271

## 2025-04-15 19:04:17.803793 INFO::Creating boxplot for categorical data, diagnosis vs F157

## 2025-04-15 19:04:17.982868 INFO::Creating boxplot for categorical data, diagnosis vs F560

## 2025-04-15 19:04:18.162358 INFO::Creating boxplot for categorical data, diagnosis vs F680

## 2025-04-15 19:04:18.345935 INFO::Creating boxplot for categorical data, diagnosis vs F580

## 2025-04-15 19:04:18.524963 INFO::Creating boxplot for categorical data, diagnosis vs F152

## 2025-04-15 19:04:18.724214 INFO::Creating boxplot for categorical data, diagnosis vs F12

## 2025-04-15 19:04:18.909207 INFO::Creating boxplot for categorical data, diagnosis vs F324

## 2025-04-15 19:04:19.094155 INFO::Creating boxplot for categorical data, diagnosis vs F893

## 2025-04-15 19:04:19.278466 INFO::Creating boxplot for categorical data, diagnosis vs F318

## 2025-04-15 19:04:19.465272 INFO::Creating boxplot for categorical data, diagnosis vs F784

## 2025-04-15 19:04:19.663857 INFO::Creating boxplot for categorical data, diagnosis vs F567

## 2025-04-15 19:04:19.842888 INFO::Creating boxplot for categorical data, diagnosis vs F457

## 2025-04-15 19:04:20.022009 INFO::Creating boxplot for categorical data, diagnosis vs F708

## 2025-04-15 19:04:20.197251 INFO::Creating boxplot for categorical data, diagnosis vs F669

## 2025-04-15 19:04:20.388483 INFO::Creating boxplot for categorical data, diagnosis vs F87

## 2025-04-15 19:04:22.743062 INFO::Plotting data for metadata number 2, antibiotics
## 2025-04-15 19:04:22.745075 INFO::Creating boxplot for categorical data, antibiotics vs F663

## 2025-04-15 19:04:22.941553 INFO::Creating boxplot for categorical data, antibiotics vs F838

## 2025-04-15 19:04:23.135816 INFO::Creating boxplot for categorical data, antibiotics vs F764

## 2025-04-15 19:04:23.333756 INFO::Creating boxplot for categorical data, antibiotics vs F880

## 2025-04-15 19:04:23.529979 INFO::Creating boxplot for categorical data, antibiotics vs F751

## 2025-04-15 19:04:23.745538 INFO::Creating boxplot for categorical data, antibiotics vs F288

## 2025-04-15 19:04:23.949679 INFO::Creating boxplot for categorical data, antibiotics vs F65

## 2025-04-15 19:04:24.153852 INFO::Creating boxplot for categorical data, antibiotics vs F742

## 2025-04-15 19:04:24.349575 INFO::Creating boxplot for categorical data, antibiotics vs F528

## 2025-04-15 19:04:24.574235 INFO::Creating boxplot for categorical data, antibiotics vs F790

## 2025-04-15 19:04:24.764258 INFO::Creating boxplot for categorical data, antibiotics vs F777

## 2025-04-15 19:04:24.957674 INFO::Creating boxplot for categorical data, antibiotics vs F178

## 2025-04-15 19:04:25.156748 INFO::Creating boxplot for categorical data, antibiotics vs F139

## 2025-04-15 19:04:25.350086 INFO::Creating boxplot for categorical data, antibiotics vs F202

## 2025-04-15 19:04:25.573408 INFO::Creating boxplot for categorical data, antibiotics vs F220

## 2025-04-15 19:04:25.778184 INFO::Creating boxplot for categorical data, antibiotics vs F397

## 2025-04-15 19:04:25.975708 INFO::Creating boxplot for categorical data, antibiotics vs F882

## 2025-04-15 19:04:26.172966 INFO::Creating boxplot for categorical data, antibiotics vs F446

## 2025-04-15 19:04:26.391497 INFO::Creating boxplot for categorical data, antibiotics vs F418

## 2025-04-15 19:04:26.579962 INFO::Creating boxplot for categorical data, antibiotics vs F133

## 2025-04-15 19:04:26.774222 INFO::Creating boxplot for categorical data, antibiotics vs F696

## 2025-04-15 19:04:26.963369 INFO::Creating boxplot for categorical data, antibiotics vs F548

## 2025-04-15 19:04:27.169463 INFO::Creating boxplot for categorical data, antibiotics vs F536

## 2025-04-15 19:04:27.362946 INFO::Creating boxplot for categorical data, antibiotics vs F194

## 2025-04-15 19:04:27.552099 INFO::Creating boxplot for categorical data, antibiotics vs F34

## 2025-04-15 19:04:27.738264 INFO::Creating boxplot for categorical data, antibiotics vs F153

## 2025-04-15 19:04:27.923866 INFO::Creating boxplot for categorical data, antibiotics vs F400

## 2025-04-15 19:04:28.13152 INFO::Creating boxplot for categorical data, antibiotics vs F794

## 2025-04-15 19:04:28.323116 INFO::Creating boxplot for categorical data, antibiotics vs F396

## 2025-04-15 19:04:28.515268 INFO::Creating boxplot for categorical data, antibiotics vs F182

## 2025-04-15 19:04:28.709512 INFO::Creating boxplot for categorical data, antibiotics vs F719

## 2025-04-15 19:04:28.923893 INFO::Creating boxplot for categorical data, antibiotics vs F109

## 2025-04-15 19:04:29.118785 INFO::Creating boxplot for categorical data, antibiotics vs F180

## 2025-04-15 19:04:29.31617 INFO::Creating boxplot for categorical data, antibiotics vs F552

## 2025-04-15 19:04:29.507551 INFO::Creating boxplot for categorical data, antibiotics vs F789

## 2025-04-15 19:04:29.734575 INFO::Creating boxplot for categorical data, antibiotics vs F893

## 2025-04-15 19:04:29.924283 INFO::Creating boxplot for categorical data, antibiotics vs F834

## 2025-04-15 19:04:30.110887 INFO::Creating boxplot for categorical data, antibiotics vs F889

## 2025-04-15 19:04:30.297857 INFO::Creating boxplot for categorical data, antibiotics vs F143

## 2025-04-15 19:04:30.485858 INFO::Creating boxplot for categorical data, antibiotics vs F224

## 2025-04-15 19:04:30.731499 INFO::Creating boxplot for categorical data, antibiotics vs F5

## 2025-04-15 19:04:30.921113 INFO::Creating boxplot for categorical data, antibiotics vs F873

## 2025-04-15 19:04:31.118892 INFO::Creating boxplot for categorical data, antibiotics vs F452

## 2025-04-15 19:04:31.313368 INFO::Creating boxplot for categorical data, antibiotics vs F681

## 2025-04-15 19:04:31.520522 INFO::Creating boxplot for categorical data, antibiotics vs F468

## 2025-04-15 19:04:31.708808 INFO::Creating boxplot for categorical data, antibiotics vs F731

## 2025-04-15 19:04:31.897223 INFO::Creating boxplot for categorical data, antibiotics vs F479

## 2025-04-15 19:04:32.087261 INFO::Creating boxplot for categorical data, antibiotics vs F520

## 2025-04-15 19:04:32.273772 INFO::Creating boxplot for categorical data, antibiotics vs F649

## 2025-04-15 19:04:32.480838 INFO::Creating boxplot for categorical data, antibiotics vs F259

## 2025-04-15 19:04:32.667689 INFO::Creating boxplot for categorical data, antibiotics vs F186

## 2025-04-15 19:04:32.856227 INFO::Creating boxplot for categorical data, antibiotics vs F312

## 2025-04-15 19:04:33.041041 INFO::Creating boxplot for categorical data, antibiotics vs F477

## 2025-04-15 19:04:33.25096 INFO::Creating boxplot for categorical data, antibiotics vs F4

## 2025-04-15 19:04:33.441051 INFO::Creating boxplot for categorical data, antibiotics vs F632

## 2025-04-15 19:04:33.628398 INFO::Creating boxplot for categorical data, antibiotics vs F31

## 2025-04-15 19:04:33.821671 INFO::Creating boxplot for categorical data, antibiotics vs F184

## 2025-04-15 19:04:34.009278 INFO::Creating boxplot for categorical data, antibiotics vs F7

## 2025-04-15 19:04:34.219251 INFO::Creating boxplot for categorical data, antibiotics vs F213

## 2025-04-15 19:04:34.409338 INFO::Creating boxplot for categorical data, antibiotics vs F691

## 2025-04-15 19:04:34.600681 INFO::Creating boxplot for categorical data, antibiotics vs F828

## 2025-04-15 19:04:34.793067 INFO::Creating boxplot for categorical data, antibiotics vs F831

## 2025-04-15 19:04:35.012168 INFO::Creating boxplot for categorical data, antibiotics vs F315

## 2025-04-15 19:04:35.205847 INFO::Creating boxplot for categorical data, antibiotics vs F159

## 2025-04-15 19:04:35.39191 INFO::Creating boxplot for categorical data, antibiotics vs F331

## 2025-04-15 19:04:35.583772 INFO::Creating boxplot for categorical data, antibiotics vs F757

## 2025-04-15 19:04:35.77245 INFO::Creating boxplot for categorical data, antibiotics vs F167

## 2025-04-15 19:04:35.9904 INFO::Creating boxplot for categorical data, antibiotics vs F85

## 2025-04-15 19:04:36.184552 INFO::Creating boxplot for categorical data, antibiotics vs F80

## 2025-04-15 19:04:36.380114 INFO::Creating boxplot for categorical data, antibiotics vs F105

## 2025-04-15 19:04:36.573922 INFO::Creating boxplot for categorical data, antibiotics vs F674

## 2025-04-15 19:04:36.796701 INFO::Creating boxplot for categorical data, antibiotics vs F50

## 2025-04-15 19:04:37.003603 INFO::Creating boxplot for categorical data, antibiotics vs F164

## 2025-04-15 19:04:37.221475 INFO::Creating boxplot for categorical data, antibiotics vs F840

## 2025-04-15 19:04:37.426106 INFO::Creating boxplot for categorical data, antibiotics vs F232

## 2025-04-15 19:04:37.617591 INFO::Creating boxplot for categorical data, antibiotics vs F872

## 2025-04-15 19:04:37.843479 INFO::Creating boxplot for categorical data, antibiotics vs F54

## 2025-04-15 19:04:38.045328 INFO::Creating boxplot for categorical data, antibiotics vs F365

## 2025-04-15 19:04:38.240864 INFO::Creating boxplot for categorical data, antibiotics vs F499

## 2025-04-15 19:04:38.431714 INFO::Creating boxplot for categorical data, antibiotics vs F510

## 2025-04-15 19:04:38.650592 INFO::Creating boxplot for categorical data, antibiotics vs F716

## 2025-04-15 19:04:38.84564 INFO::Creating boxplot for categorical data, antibiotics vs F454

## 2025-04-15 19:04:39.04276 INFO::Creating boxplot for categorical data, antibiotics vs F52

## 2025-04-15 19:04:39.250159 INFO::Creating boxplot for categorical data, antibiotics vs F273

## 2025-04-15 19:04:39.478294 INFO::Creating boxplot for categorical data, antibiotics vs F474

## 2025-04-15 19:04:39.681645 INFO::Creating boxplot for categorical data, antibiotics vs F267

## 2025-04-15 19:04:39.88813 INFO::Creating boxplot for categorical data, antibiotics vs F253

## 2025-04-15 19:04:40.084219 INFO::Creating boxplot for categorical data, antibiotics vs F247

## 2025-04-15 19:04:40.273901 INFO::Creating boxplot for categorical data, antibiotics vs F708

## 2025-04-15 19:04:40.487474 INFO::Creating boxplot for categorical data, antibiotics vs F438

## 2025-04-15 19:04:40.680064 INFO::Creating boxplot for categorical data, antibiotics vs F450

## 2025-04-15 19:04:40.876409 INFO::Creating boxplot for categorical data, antibiotics vs F666

## 2025-04-15 19:04:41.067743 INFO::Creating boxplot for categorical data, antibiotics vs F720

## 2025-04-15 19:04:41.280699 INFO::Creating boxplot for categorical data, antibiotics vs F48

## 2025-04-15 19:04:41.472497 INFO::Creating boxplot for categorical data, antibiotics vs F371

## 2025-04-15 19:04:41.665865 INFO::Creating boxplot for categorical data, antibiotics vs F423

## 2025-04-15 19:04:41.869087 INFO::Creating boxplot for categorical data, antibiotics vs F190

## 2025-04-15 19:04:42.069183 INFO::Creating boxplot for categorical data, antibiotics vs F351

## 2025-04-15 19:04:42.299142 INFO::Creating boxplot for categorical data, antibiotics vs F394

## 2025-04-15 19:04:42.498183 INFO::Creating boxplot for categorical data, antibiotics vs F581

## 2025-04-15 19:04:42.696358 INFO::Creating boxplot for categorical data, antibiotics vs F276

## 2025-04-15 19:04:42.889333 INFO::Creating boxplot for categorical data, antibiotics vs F608

## 2025-04-15 19:04:43.10407 INFO::Creating boxplot for categorical data, antibiotics vs F28

## 2025-04-15 19:04:43.295983 INFO::Creating boxplot for categorical data, antibiotics vs F805

## 2025-04-15 19:04:43.509353 INFO::Creating boxplot for categorical data, antibiotics vs F249

## 2025-04-15 19:04:43.702205 INFO::Creating boxplot for categorical data, antibiotics vs F776

## 2025-04-15 19:04:43.922772 INFO::Creating boxplot for categorical data, antibiotics vs F755

## 2025-04-15 19:04:44.123994 INFO::Creating boxplot for categorical data, antibiotics vs F68

## 2025-04-15 19:04:44.329041 INFO::Creating boxplot for categorical data, antibiotics vs F78

## 2025-04-15 19:04:44.532218 INFO::Creating boxplot for categorical data, antibiotics vs F381

## 2025-04-15 19:04:44.737071 INFO::Creating boxplot for categorical data, antibiotics vs F644

## 2025-04-15 19:04:44.984073 INFO::Creating boxplot for categorical data, antibiotics vs F358

## 2025-04-15 19:04:45.206843 INFO::Creating boxplot for categorical data, antibiotics vs F344

## 2025-04-15 19:04:45.405718 INFO::Creating boxplot for categorical data, antibiotics vs F209

## 2025-04-15 19:04:45.600365 INFO::Creating boxplot for categorical data, antibiotics vs F898

## 2025-04-15 19:04:45.820396 INFO::Creating boxplot for categorical data, antibiotics vs F51

## 2025-04-15 19:04:46.010669 INFO::Creating boxplot for categorical data, antibiotics vs F149

## 2025-04-15 19:04:46.210235 INFO::Creating boxplot for categorical data, antibiotics vs F108

## 2025-04-15 19:04:46.408365 INFO::Creating boxplot for categorical data, antibiotics vs F255

## 2025-04-15 19:04:46.634369 INFO::Creating boxplot for categorical data, antibiotics vs F823

## 2025-04-15 19:04:46.858771 INFO::Creating boxplot for categorical data, antibiotics vs F864

## 2025-04-15 19:04:47.066776 INFO::Creating boxplot for categorical data, antibiotics vs F214

## 2025-04-15 19:04:47.277691 INFO::Creating boxplot for categorical data, antibiotics vs F76

## 2025-04-15 19:04:47.48201 INFO::Creating boxplot for categorical data, antibiotics vs F575

## 2025-04-15 19:04:47.726125 INFO::Creating boxplot for categorical data, antibiotics vs F13

## 2025-04-15 19:04:47.922962 INFO::Creating boxplot for categorical data, antibiotics vs F389

## 2025-04-15 19:04:48.130988 INFO::Creating boxplot for categorical data, antibiotics vs F556

## 2025-04-15 19:04:48.347857 INFO::Creating boxplot for categorical data, antibiotics vs F49

## 2025-04-15 19:04:48.571811 INFO::Creating boxplot for categorical data, antibiotics vs F436

## 2025-04-15 19:04:48.767803 INFO::Creating boxplot for categorical data, antibiotics vs F378

## 2025-04-15 19:04:48.966869 INFO::Creating boxplot for categorical data, antibiotics vs F682

## 2025-04-15 19:04:49.165347 INFO::Creating boxplot for categorical data, antibiotics vs F47

## 2025-04-15 19:04:50.329198 INFO::Creating boxplot for categorical data, antibiotics vs F429

## 2025-04-15 19:04:50.512132 INFO::Creating boxplot for categorical data, antibiotics vs F588

## 2025-04-15 19:04:50.706072 INFO::Creating boxplot for categorical data, antibiotics vs F616

## 2025-04-15 19:04:50.899018 INFO::Creating boxplot for categorical data, antibiotics vs F323

## 2025-04-15 19:04:51.088397 INFO::Creating boxplot for categorical data, antibiotics vs F409

## 2025-04-15 19:04:51.282069 INFO::Creating boxplot for categorical data, antibiotics vs F326

## 2025-04-15 19:04:51.465522 INFO::Creating boxplot for categorical data, antibiotics vs F698

## 2025-04-15 19:04:51.652594 INFO::Creating boxplot for categorical data, antibiotics vs F567

## 2025-04-15 19:04:51.846657 INFO::Creating boxplot for categorical data, antibiotics vs F179

## 2025-04-15 19:04:52.053935 INFO::Creating boxplot for categorical data, antibiotics vs F787

## 2025-04-15 19:04:52.235265 INFO::Creating boxplot for categorical data, antibiotics vs F79

## 2025-04-15 19:04:52.411107 INFO::Creating boxplot for categorical data, antibiotics vs F335

## 2025-04-15 19:04:52.592874 INFO::Creating boxplot for categorical data, antibiotics vs F576

## 2025-04-15 19:04:52.776294 INFO::Creating boxplot for categorical data, antibiotics vs F667

## 2025-04-15 19:04:52.966073 INFO::Creating boxplot for categorical data, antibiotics vs F694

## 2025-04-15 19:04:53.146137 INFO::Creating boxplot for categorical data, antibiotics vs F297

## 2025-04-15 19:04:53.324636 INFO::Creating boxplot for categorical data, antibiotics vs F569

## 2025-04-15 19:04:53.508722 INFO::Creating boxplot for categorical data, antibiotics vs F138

## 2025-04-15 19:04:53.701307 INFO::Creating boxplot for categorical data, antibiotics vs F611

## 2025-04-15 19:04:53.879371 INFO::Creating boxplot for categorical data, antibiotics vs F810

## 2025-04-15 19:04:54.060073 INFO::Creating boxplot for categorical data, antibiotics vs F746

## 2025-04-15 19:04:54.24856 INFO::Creating boxplot for categorical data, antibiotics vs F23

## 2025-04-15 19:04:54.434939 INFO::Creating boxplot for categorical data, antibiotics vs F135

## 2025-04-15 19:04:54.625845 INFO::Creating boxplot for categorical data, antibiotics vs F411

## 2025-04-15 19:04:54.805099 INFO::Creating boxplot for categorical data, antibiotics vs F489

## 2025-04-15 19:04:54.98558 INFO::Creating boxplot for categorical data, antibiotics vs F492

## 2025-04-15 19:04:55.173877 INFO::Creating boxplot for categorical data, antibiotics vs F844

## 2025-04-15 19:04:55.366018 INFO::Creating boxplot for categorical data, antibiotics vs F586

## 2025-04-15 19:04:55.557947 INFO::Creating boxplot for categorical data, antibiotics vs F11

## 2025-04-15 19:04:55.740948 INFO::Creating boxplot for categorical data, antibiotics vs F900

## 2025-04-15 19:04:55.923394 INFO::Creating boxplot for categorical data, antibiotics vs F21

## 2025-04-15 19:04:56.110469 INFO::Creating boxplot for categorical data, antibiotics vs F736

## 2025-04-15 19:04:56.302902 INFO::Creating boxplot for categorical data, antibiotics vs F408

## 2025-04-15 19:04:56.498658 INFO::Creating boxplot for categorical data, antibiotics vs F788

## 2025-04-15 19:04:56.681134 INFO::Creating boxplot for categorical data, antibiotics vs F66

## 2025-04-15 19:04:56.878826 INFO::Creating boxplot for categorical data, antibiotics vs F493

## 2025-04-15 19:04:57.078313 INFO::Creating boxplot for categorical data, antibiotics vs F343

## 2025-04-15 19:04:57.275088 INFO::Creating boxplot for categorical data, antibiotics vs F352

## 2025-04-15 19:04:57.459846 INFO::Creating boxplot for categorical data, antibiotics vs F677

## 2025-04-15 19:04:57.654225 INFO::Creating boxplot for categorical data, antibiotics vs F816

## 2025-04-15 19:04:57.837452 INFO::Creating boxplot for categorical data, antibiotics vs F457

## 2025-04-15 19:04:58.028929 INFO::Creating boxplot for categorical data, antibiotics vs F330

## 2025-04-15 19:04:58.207835 INFO::Creating boxplot for categorical data, antibiotics vs F293

## 2025-04-15 19:04:58.388749 INFO::Creating boxplot for categorical data, antibiotics vs F725

## 2025-04-15 19:04:58.578556 INFO::Creating boxplot for categorical data, antibiotics vs F813

## 2025-04-15 19:04:58.771056 INFO::Creating boxplot for categorical data, antibiotics vs F295

## 2025-04-15 19:04:58.96046 INFO::Creating boxplot for categorical data, antibiotics vs F656

## 2025-04-15 19:04:59.139695 INFO::Creating boxplot for categorical data, antibiotics vs F669

## 2025-04-15 19:04:59.319545 INFO::Creating boxplot for categorical data, antibiotics vs F15

## 2025-04-15 19:04:59.503407 INFO::Creating boxplot for categorical data, antibiotics vs F419

## 2025-04-15 19:04:59.703107 INFO::Creating boxplot for categorical data, antibiotics vs F701

## 2025-04-15 19:04:59.888623 INFO::Creating boxplot for categorical data, antibiotics vs F176

## 2025-04-15 19:05:00.072703 INFO::Creating boxplot for categorical data, antibiotics vs F203

## 2025-04-15 19:05:00.260647 INFO::Creating boxplot for categorical data, antibiotics vs F501

## 2025-04-15 19:05:00.442468 INFO::Creating boxplot for categorical data, antibiotics vs F772

## 2025-04-15 19:05:00.63167 INFO::Creating boxplot for categorical data, antibiotics vs F488

## 2025-04-15 19:05:00.813795 INFO::Creating boxplot for categorical data, antibiotics vs F600

## 2025-04-15 19:05:00.997328 INFO::Creating boxplot for categorical data, antibiotics vs F768

## 2025-04-15 19:05:01.18558 INFO::Creating boxplot for categorical data, antibiotics vs F432

## 2025-04-15 19:05:01.378074 INFO::Creating boxplot for categorical data, antibiotics vs F26

## 2025-04-15 19:05:01.557125 INFO::Creating boxplot for categorical data, antibiotics vs F189

## 2025-04-15 19:05:01.736847 INFO::Creating boxplot for categorical data, antibiotics vs F200

## 2025-04-15 19:05:01.924457 INFO::Creating boxplot for categorical data, antibiotics vs F121

## 2025-04-15 19:05:02.122854 INFO::Creating boxplot for categorical data, antibiotics vs F624

## 2025-04-15 19:05:02.302307 INFO::Creating boxplot for categorical data, antibiotics vs F855

## 2025-04-15 19:05:02.480916 INFO::Creating boxplot for categorical data, antibiotics vs F380

## 2025-04-15 19:05:02.662632 INFO::Creating boxplot for categorical data, antibiotics vs F734

## 2025-04-15 19:05:02.849009 INFO::Creating boxplot for categorical data, antibiotics vs F16

## 2025-04-15 19:05:03.040845 INFO::Creating boxplot for categorical data, antibiotics vs F602

## 2025-04-15 19:05:03.224376 INFO::Creating boxplot for categorical data, antibiotics vs F210

## 2025-04-15 19:05:03.401776 INFO::Creating boxplot for categorical data, antibiotics vs F217

## 2025-04-15 19:05:03.587994 INFO::Creating boxplot for categorical data, antibiotics vs F640

## 2025-04-15 19:05:03.778829 INFO::Creating boxplot for categorical data, antibiotics vs F631

## 2025-04-15 19:05:03.961628 INFO::Creating boxplot for categorical data, antibiotics vs F32

## 2025-04-15 19:05:04.13991 INFO::Creating boxplot for categorical data, antibiotics vs F322

## 2025-04-15 19:05:04.324065 INFO::Creating boxplot for categorical data, antibiotics vs F476

## 2025-04-15 19:05:04.508636 INFO::Creating boxplot for categorical data, antibiotics vs F265

## 2025-04-15 19:05:04.702885 INFO::Creating boxplot for categorical data, antibiotics vs F283

## 2025-04-15 19:05:04.883627 INFO::Creating boxplot for categorical data, antibiotics vs F316

## 2025-04-15 19:05:05.070261 INFO::Creating boxplot for categorical data, antibiotics vs F465

## 2025-04-15 19:05:05.26113 INFO::Creating boxplot for categorical data, antibiotics vs F24

## 2025-04-15 19:05:05.461961 INFO::Creating boxplot for categorical data, antibiotics vs F38

## 2025-04-15 19:05:05.640151 INFO::Creating boxplot for categorical data, antibiotics vs F82

## 2025-04-15 19:05:05.815172 INFO::Creating boxplot for categorical data, antibiotics vs F86

## 2025-04-15 19:05:05.998774 INFO::Creating boxplot for categorical data, antibiotics vs F270

## 2025-04-15 19:05:06.183913 INFO::Creating boxplot for categorical data, antibiotics vs F485

## 2025-04-15 19:05:06.374624 INFO::Creating boxplot for categorical data, antibiotics vs F486

## 2025-04-15 19:05:06.555295 INFO::Creating boxplot for categorical data, antibiotics vs F399

## 2025-04-15 19:05:06.738551 INFO::Creating boxplot for categorical data, antibiotics vs F573

## 2025-04-15 19:05:06.923631 INFO::Creating boxplot for categorical data, antibiotics vs F877

## 2025-04-15 19:05:07.113313 INFO::Creating boxplot for categorical data, antibiotics vs F709

## 2025-04-15 19:05:07.292248 INFO::Creating boxplot for categorical data, antibiotics vs F227

## 2025-04-15 19:05:07.476111 INFO::Creating boxplot for categorical data, antibiotics vs F553

## 2025-04-15 19:05:07.661205 INFO::Creating boxplot for categorical data, antibiotics vs F123

## 2025-04-15 19:05:07.888943 INFO::Creating boxplot for categorical data, antibiotics vs F118

## 2025-04-15 19:05:08.075376 INFO::Creating boxplot for categorical data, antibiotics vs F605

## 2025-04-15 19:05:08.2521 INFO::Creating boxplot for categorical data, antibiotics vs F619

## 2025-04-15 19:05:08.433419 INFO::Creating boxplot for categorical data, antibiotics vs F830

## 2025-04-15 19:05:08.617856 INFO::Creating boxplot for categorical data, antibiotics vs F837

## 2025-04-15 19:05:08.820064 INFO::Creating boxplot for categorical data, antibiotics vs F12

## 2025-04-15 19:05:09.000663 INFO::Creating boxplot for categorical data, antibiotics vs F623

## 2025-04-15 19:05:09.196526 INFO::Creating boxplot for categorical data, antibiotics vs F806

## 2025-04-15 19:05:09.378715 INFO::Creating boxplot for categorical data, antibiotics vs F353

## 2025-04-15 19:05:09.562241 INFO::Creating boxplot for categorical data, antibiotics vs F829

## 2025-04-15 19:05:09.769902 INFO::Creating boxplot for categorical data, antibiotics vs F289

## 2025-04-15 19:05:09.948933 INFO::Creating boxplot for categorical data, antibiotics vs F93

## 2025-04-15 19:05:10.132447 INFO::Creating boxplot for categorical data, antibiotics vs F379

## 2025-04-15 19:05:10.314599 INFO::Creating boxplot for categorical data, antibiotics vs F370

## 2025-04-15 19:05:10.512394 INFO::Creating boxplot for categorical data, antibiotics vs F360

## 2025-04-15 19:05:10.693184 INFO::Creating boxplot for categorical data, antibiotics vs F710

## 2025-04-15 19:05:10.870579 INFO::Creating boxplot for categorical data, antibiotics vs F388

## 2025-04-15 19:05:11.050727 INFO::Creating boxplot for categorical data, antibiotics vs F796

## 2025-04-15 19:05:11.233817 INFO::Creating boxplot for categorical data, antibiotics vs F174

## 2025-04-15 19:05:11.435446 INFO::Creating boxplot for categorical data, antibiotics vs F601

## 2025-04-15 19:05:11.617287 INFO::Creating boxplot for categorical data, antibiotics vs F775

## 2025-04-15 19:05:11.797968 INFO::Creating boxplot for categorical data, antibiotics vs F836

## 2025-04-15 19:05:11.980672 INFO::Creating boxplot for categorical data, antibiotics vs F192

## 2025-04-15 19:05:12.180205 INFO::Creating boxplot for categorical data, antibiotics vs F463

## 2025-04-15 19:05:12.365983 INFO::Creating boxplot for categorical data, antibiotics vs F57

## 2025-04-15 19:05:12.54568 INFO::Creating boxplot for categorical data, antibiotics vs F658

## 2025-04-15 19:05:12.727943 INFO::Creating boxplot for categorical data, antibiotics vs F596

## 2025-04-15 19:05:12.915197 INFO::Creating boxplot for categorical data, antibiotics vs F218

## 2025-04-15 19:05:13.122941 INFO::Creating boxplot for categorical data, antibiotics vs F104

## 2025-04-15 19:05:13.304555 INFO::Creating boxplot for categorical data, antibiotics vs F466

## 2025-04-15 19:05:13.486811 INFO::Creating boxplot for categorical data, antibiotics vs F737

## 2025-04-15 19:05:13.67112 INFO::Creating boxplot for categorical data, antibiotics vs F487

## 2025-04-15 19:05:13.874155 INFO::Creating boxplot for categorical data, antibiotics vs F369

## 2025-04-15 19:05:14.062093 INFO::Creating boxplot for categorical data, antibiotics vs F584

## 2025-04-15 19:05:14.244399 INFO::Creating boxplot for categorical data, antibiotics vs F166

## 2025-04-15 19:05:14.429537 INFO::Creating boxplot for categorical data, antibiotics vs F822

## 2025-04-15 19:05:14.619127 INFO::Creating boxplot for categorical data, antibiotics vs F416

## 2025-04-15 19:05:14.823195 INFO::Creating boxplot for categorical data, antibiotics vs F70

## 2025-04-15 19:05:15.011762 INFO::Creating boxplot for categorical data, antibiotics vs F243

## 2025-04-15 19:05:15.195359 INFO::Creating boxplot for categorical data, antibiotics vs F498

## 2025-04-15 19:05:15.386242 INFO::Creating boxplot for categorical data, antibiotics vs F272

## 2025-04-15 19:05:15.583648 INFO::Creating boxplot for categorical data, antibiotics vs F846

## 2025-04-15 19:05:15.765584 INFO::Creating boxplot for categorical data, antibiotics vs F881

## 2025-04-15 19:05:15.942243 INFO::Creating boxplot for categorical data, antibiotics vs F280

## 2025-04-15 19:05:16.123239 INFO::Creating boxplot for categorical data, antibiotics vs F761

## 2025-04-15 19:05:16.306047 INFO::Creating boxplot for categorical data, antibiotics vs F781

## 2025-04-15 19:05:16.504306 INFO::Creating boxplot for categorical data, antibiotics vs F697

## 2025-04-15 19:05:16.682395 INFO::Creating boxplot for categorical data, antibiotics vs F890

## 2025-04-15 19:05:16.861702 INFO::Creating boxplot for categorical data, antibiotics vs F197

## 2025-04-15 19:05:17.044864 INFO::Creating boxplot for categorical data, antibiotics vs F826

## 2025-04-15 19:05:17.247653 INFO::Creating boxplot for categorical data, antibiotics vs F641

## 2025-04-15 19:05:17.442963 INFO::Creating boxplot for categorical data, antibiotics vs F700

## 2025-04-15 19:05:17.627373 INFO::Creating boxplot for categorical data, antibiotics vs F531

## 2025-04-15 19:05:17.824969 INFO::Creating boxplot for categorical data, antibiotics vs F660

## 2025-04-15 19:05:18.017428 INFO::Creating boxplot for categorical data, antibiotics vs F257

## 2025-04-15 19:05:18.224988 INFO::Creating boxplot for categorical data, antibiotics vs F136

## 2025-04-15 19:05:18.410877 INFO::Creating boxplot for categorical data, antibiotics vs F875

## 2025-04-15 19:05:18.59269 INFO::Creating boxplot for categorical data, antibiotics vs F160

## 2025-04-15 19:05:18.781085 INFO::Creating boxplot for categorical data, antibiotics vs F782

## 2025-04-15 19:05:18.988671 INFO::Creating boxplot for categorical data, antibiotics vs F642

## 2025-04-15 19:05:19.177495 INFO::Creating boxplot for categorical data, antibiotics vs F730

## 2025-04-15 19:05:19.355925 INFO::Creating boxplot for categorical data, antibiotics vs F679

## 2025-04-15 19:05:19.540652 INFO::Creating boxplot for categorical data, antibiotics vs F713

## 2025-04-15 19:05:19.726304 INFO::Creating boxplot for categorical data, antibiotics vs F821

## 2025-04-15 19:05:19.931822 INFO::Creating boxplot for categorical data, antibiotics vs F443

## 2025-04-15 19:05:20.114456 INFO::Creating boxplot for categorical data, antibiotics vs F729

## 2025-04-15 19:05:20.296661 INFO::Creating boxplot for categorical data, antibiotics vs F25

## 2025-04-15 19:05:20.480473 INFO::Creating boxplot for categorical data, antibiotics vs F338

## 2025-04-15 19:05:20.680232 INFO::Creating boxplot for categorical data, antibiotics vs F647

## 2025-04-15 19:05:20.859985 INFO::Creating boxplot for categorical data, antibiotics vs F817

## 2025-04-15 19:05:21.038279 INFO::Creating boxplot for categorical data, antibiotics vs F535

## 2025-04-15 19:05:21.227586 INFO::Creating boxplot for categorical data, antibiotics vs F634

## 2025-04-15 19:05:21.422098 INFO::Creating boxplot for categorical data, antibiotics vs F533

## 2025-04-15 19:05:21.606356 INFO::Creating boxplot for categorical data, antibiotics vs F808

## 2025-04-15 19:05:21.785579 INFO::Creating boxplot for categorical data, antibiotics vs F571

## 2025-04-15 19:05:21.964735 INFO::Creating boxplot for categorical data, antibiotics vs F529

## 2025-04-15 19:05:22.14821 INFO::Creating boxplot for categorical data, antibiotics vs F827

## 2025-04-15 19:05:22.346213 INFO::Creating boxplot for categorical data, antibiotics vs F107

## 2025-04-15 19:05:22.524841 INFO::Creating boxplot for categorical data, antibiotics vs F515

## 2025-04-15 19:05:22.707649 INFO::Creating boxplot for categorical data, antibiotics vs F305

## 2025-04-15 19:05:22.894167 INFO::Creating boxplot for categorical data, antibiotics vs F662

## 2025-04-15 19:05:23.098656 INFO::Creating boxplot for categorical data, antibiotics vs F310

## 2025-04-15 19:05:23.284688 INFO::Creating boxplot for categorical data, antibiotics vs F430

## 2025-04-15 19:05:23.46135 INFO::Creating boxplot for categorical data, antibiotics vs F173

## 2025-04-15 19:05:23.642066 INFO::Creating boxplot for categorical data, antibiotics vs F820

## 2025-04-15 19:05:23.827356 INFO::Creating boxplot for categorical data, antibiotics vs F743

## 2025-04-15 19:05:24.026719 INFO::Creating boxplot for categorical data, antibiotics vs F63

## 2025-04-15 19:05:24.204551 INFO::Creating boxplot for categorical data, antibiotics vs F215

## 2025-04-15 19:05:24.381764 INFO::Creating boxplot for categorical data, antibiotics vs F216

## 2025-04-15 19:05:24.565081 INFO::Creating boxplot for categorical data, antibiotics vs F245

## 2025-04-15 19:05:24.77178 INFO::Creating boxplot for categorical data, antibiotics vs F862

## 2025-04-15 19:05:24.952584 INFO::Creating boxplot for categorical data, antibiotics vs F541

## 2025-04-15 19:05:25.138443 INFO::Creating boxplot for categorical data, antibiotics vs F558

## 2025-04-15 19:05:25.3214 INFO::Creating boxplot for categorical data, antibiotics vs F633

## 2025-04-15 19:05:25.576102 INFO::Creating boxplot for categorical data, antibiotics vs F94

## 2025-04-15 19:05:25.761982 INFO::Creating boxplot for categorical data, antibiotics vs F574

## 2025-04-15 19:05:25.97162 INFO::Creating boxplot for categorical data, antibiotics vs F238

## 2025-04-15 19:05:26.172333 INFO::Creating boxplot for categorical data, antibiotics vs F815

## 2025-04-15 19:05:26.369787 INFO::Creating boxplot for categorical data, antibiotics vs F587

## 2025-04-15 19:05:26.583977 INFO::Creating boxplot for categorical data, antibiotics vs F464

## 2025-04-15 19:05:26.782457 INFO::Creating boxplot for categorical data, antibiotics vs F590

## 2025-04-15 19:05:26.964095 INFO::Creating boxplot for categorical data, antibiotics vs F124

## 2025-04-15 19:05:27.148591 INFO::Creating boxplot for categorical data, antibiotics vs F664

## 2025-04-15 19:05:27.329221 INFO::Creating boxplot for categorical data, antibiotics vs F100

## 2025-04-15 19:05:27.529446 INFO::Creating boxplot for categorical data, antibiotics vs F744

## 2025-04-15 19:05:27.712582 INFO::Creating boxplot for categorical data, antibiotics vs F444

## 2025-04-15 19:05:27.899269 INFO::Creating boxplot for categorical data, antibiotics vs F597

## 2025-04-15 19:05:28.082772 INFO::Creating boxplot for categorical data, antibiotics vs F650

## 2025-04-15 19:05:28.278552 INFO::Creating boxplot for categorical data, antibiotics vs F147

## 2025-04-15 19:05:28.462712 INFO::Creating boxplot for categorical data, antibiotics vs F363

## 2025-04-15 19:05:28.643056 INFO::Creating boxplot for categorical data, antibiotics vs F521

## 2025-04-15 19:05:28.827822 INFO::Creating boxplot for categorical data, antibiotics vs F412

## 2025-04-15 19:05:29.011522 INFO::Creating boxplot for categorical data, antibiotics vs F279

## 2025-04-15 19:05:29.213892 INFO::Creating boxplot for categorical data, antibiotics vs F225

## 2025-04-15 19:05:29.398702 INFO::Creating boxplot for categorical data, antibiotics vs F10

## 2025-04-15 19:05:29.584642 INFO::Creating boxplot for categorical data, antibiotics vs F481

## 2025-04-15 19:05:29.769495 INFO::Creating boxplot for categorical data, antibiotics vs F861

## 2025-04-15 19:05:29.967358 INFO::Creating boxplot for categorical data, antibiotics vs F888

## 2025-04-15 19:05:30.152043 INFO::Creating boxplot for categorical data, antibiotics vs F156

## 2025-04-15 19:05:30.332339 INFO::Creating boxplot for categorical data, antibiotics vs F857

## 2025-04-15 19:05:30.516558 INFO::Creating boxplot for categorical data, antibiotics vs F509

## 2025-04-15 19:05:30.697193 INFO::Creating boxplot for categorical data, antibiotics vs F244

## 2025-04-15 19:05:30.895658 INFO::Creating boxplot for categorical data, antibiotics vs F514

## 2025-04-15 19:05:31.078745 INFO::Creating boxplot for categorical data, antibiotics vs F196

## 2025-04-15 19:05:31.264783 INFO::Creating boxplot for categorical data, antibiotics vs F304

## 2025-04-15 19:05:31.448278 INFO::Creating boxplot for categorical data, antibiotics vs F833

## 2025-04-15 19:05:31.645521 INFO::Creating boxplot for categorical data, antibiotics vs F294

## 2025-04-15 19:05:31.826653 INFO::Creating boxplot for categorical data, antibiotics vs F550

## 2025-04-15 19:05:32.003478 INFO::Creating boxplot for categorical data, antibiotics vs F869

## 2025-04-15 19:05:32.18973 INFO::Creating boxplot for categorical data, antibiotics vs F364

## 2025-04-15 19:05:32.374868 INFO::Creating boxplot for categorical data, antibiotics vs F583

## 2025-04-15 19:05:32.575792 INFO::Creating boxplot for categorical data, antibiotics vs F441

## 2025-04-15 19:05:32.764041 INFO::Creating boxplot for categorical data, antibiotics vs F595

## 2025-04-15 19:05:32.949711 INFO::Creating boxplot for categorical data, antibiotics vs F35

## 2025-04-15 19:05:33.138211 INFO::Creating boxplot for categorical data, antibiotics vs F630

## 2025-04-15 19:05:33.345727 INFO::Creating boxplot for categorical data, antibiotics vs F401

## 2025-04-15 19:05:33.535789 INFO::Creating boxplot for categorical data, antibiotics vs F287

## 2025-04-15 19:05:33.718971 INFO::Creating boxplot for categorical data, antibiotics vs F250

## 2025-04-15 19:05:33.902217 INFO::Creating boxplot for categorical data, antibiotics vs F239

## 2025-04-15 19:05:34.084485 INFO::Creating boxplot for categorical data, antibiotics vs F88

## 2025-04-15 19:05:34.298973 INFO::Creating boxplot for categorical data, antibiotics vs F752

## 2025-04-15 19:05:34.488972 INFO::Creating boxplot for categorical data, antibiotics vs F539

## 2025-04-15 19:05:34.675159 INFO::Creating boxplot for categorical data, antibiotics vs F69

## 2025-04-15 19:05:34.869524 INFO::Creating boxplot for categorical data, antibiotics vs F126

## 2025-04-15 19:05:35.079583 INFO::Creating boxplot for categorical data, antibiotics vs F362

## 2025-04-15 19:05:35.266942 INFO::Creating boxplot for categorical data, antibiotics vs F753

## 2025-04-15 19:05:35.451645 INFO::Creating boxplot for categorical data, antibiotics vs F469

## 2025-04-15 19:05:35.640888 INFO::Creating boxplot for categorical data, antibiotics vs F14

## 2025-04-15 19:05:35.82413 INFO::Creating boxplot for categorical data, antibiotics vs F803

## 2025-04-15 19:05:36.021546 INFO::Creating boxplot for categorical data, antibiotics vs F814

## 2025-04-15 19:05:36.203571 INFO::Creating boxplot for categorical data, antibiotics vs F449

## 2025-04-15 19:05:36.387912 INFO::Creating boxplot for categorical data, antibiotics vs F494

## 2025-04-15 19:05:36.572815 INFO::Creating boxplot for categorical data, antibiotics vs F439

## 2025-04-15 19:05:36.779602 INFO::Creating boxplot for categorical data, antibiotics vs F686

## 2025-04-15 19:05:36.971199 INFO::Creating boxplot for categorical data, antibiotics vs F591

## 2025-04-15 19:05:37.151886 INFO::Creating boxplot for categorical data, antibiotics vs F735

## 2025-04-15 19:05:37.337275 INFO::Creating boxplot for categorical data, antibiotics vs F111

## 2025-04-15 19:05:37.520247 INFO::Creating boxplot for categorical data, antibiotics vs F346

## 2025-04-15 19:05:37.717494 INFO::Creating boxplot for categorical data, antibiotics vs F29

## 2025-04-15 19:05:37.901835 INFO::Creating boxplot for categorical data, antibiotics vs F376

## 2025-04-15 19:05:38.086526 INFO::Creating boxplot for categorical data, antibiotics vs F414

## 2025-04-15 19:05:38.274497 INFO::Creating boxplot for categorical data, antibiotics vs F555

## 2025-04-15 19:05:38.478721 INFO::Creating boxplot for categorical data, antibiotics vs F517

## 2025-04-15 19:05:38.663837 INFO::Creating boxplot for categorical data, antibiotics vs F544

## 2025-04-15 19:05:38.847144 INFO::Creating boxplot for categorical data, antibiotics vs F339

## 2025-04-15 19:05:39.033677 INFO::Creating boxplot for categorical data, antibiotics vs F689

## 2025-04-15 19:05:39.237492 INFO::Creating boxplot for categorical data, antibiotics vs F391

## 2025-04-15 19:05:39.425327 INFO::Creating boxplot for categorical data, antibiotics vs F502

## 2025-04-15 19:05:39.60937 INFO::Creating boxplot for categorical data, antibiotics vs F298

## 2025-04-15 19:05:39.79674 INFO::Creating boxplot for categorical data, antibiotics vs F337

## 2025-04-15 19:05:39.98206 INFO::Creating boxplot for categorical data, antibiotics vs F773

## 2025-04-15 19:05:40.184013 INFO::Creating boxplot for categorical data, antibiotics vs F592

## 2025-04-15 19:05:40.366952 INFO::Creating boxplot for categorical data, antibiotics vs F307

## 2025-04-15 19:05:40.549378 INFO::Creating boxplot for categorical data, antibiotics vs F115

## 2025-04-15 19:05:40.733055 INFO::Creating boxplot for categorical data, antibiotics vs F739

## 2025-04-15 19:05:40.932167 INFO::Creating boxplot for categorical data, antibiotics vs F433

## 2025-04-15 19:05:41.117165 INFO::Creating boxplot for categorical data, antibiotics vs F384

## 2025-04-15 19:05:41.297726 INFO::Creating boxplot for categorical data, antibiotics vs F750

## 2025-04-15 19:05:41.484677 INFO::Creating boxplot for categorical data, antibiotics vs F762

## 2025-04-15 19:05:41.67949 INFO::Creating boxplot for categorical data, antibiotics vs F277

## 2025-04-15 19:05:41.867645 INFO::Creating boxplot for categorical data, antibiotics vs F871

## 2025-04-15 19:05:42.047642 INFO::Creating boxplot for categorical data, antibiotics vs F839

## 2025-04-15 19:05:42.232197 INFO::Creating boxplot for categorical data, antibiotics vs F127

## 2025-04-15 19:05:42.415713 INFO::Creating boxplot for categorical data, antibiotics vs F554

## 2025-04-15 19:05:42.615085 INFO::Creating boxplot for categorical data, antibiotics vs F676

## 2025-04-15 19:05:42.795796 INFO::Creating boxplot for categorical data, antibiotics vs F568

## 2025-04-15 19:05:42.976051 INFO::Creating boxplot for categorical data, antibiotics vs F137

## 2025-04-15 19:05:43.158626 INFO::Creating boxplot for categorical data, antibiotics vs F131

## 2025-04-15 19:05:43.392308 INFO::Creating boxplot for categorical data, antibiotics vs F60

## 2025-04-15 19:05:43.579096 INFO::Creating boxplot for categorical data, antibiotics vs F98

## 2025-04-15 19:05:43.764686 INFO::Creating boxplot for categorical data, antibiotics vs F672

## 2025-04-15 19:05:43.953783 INFO::Creating boxplot for categorical data, antibiotics vs F530

## 2025-04-15 19:05:44.138077 INFO::Creating boxplot for categorical data, antibiotics vs F809

## 2025-04-15 19:05:44.346868 INFO::Creating boxplot for categorical data, antibiotics vs F894

## 2025-04-15 19:05:44.535828 INFO::Creating boxplot for categorical data, antibiotics vs F22

## 2025-04-15 19:05:44.721798 INFO::Creating boxplot for categorical data, antibiotics vs F818

## 2025-04-15 19:05:44.903549 INFO::Creating boxplot for categorical data, antibiotics vs F559

## 2025-04-15 19:05:45.10381 INFO::Creating boxplot for categorical data, antibiotics vs F741

## 2025-04-15 19:05:45.297593 INFO::Creating boxplot for categorical data, antibiotics vs F398

## 2025-04-15 19:05:45.482428 INFO::Creating boxplot for categorical data, antibiotics vs F357

## 2025-04-15 19:05:45.670267 INFO::Creating boxplot for categorical data, antibiotics vs F119

## 2025-04-15 19:05:45.8539 INFO::Creating boxplot for categorical data, antibiotics vs F426

## 2025-04-15 19:05:46.062886 INFO::Creating boxplot for categorical data, antibiotics vs F204

## 2025-04-15 19:05:46.253332 INFO::Creating boxplot for categorical data, antibiotics vs F851

## 2025-04-15 19:05:46.435271 INFO::Creating boxplot for categorical data, antibiotics vs F657

## 2025-04-15 19:05:46.618242 INFO::Creating boxplot for categorical data, antibiotics vs F801

## 2025-04-15 19:05:46.800961 INFO::Creating boxplot for categorical data, antibiotics vs F754

## 2025-04-15 19:05:47.009471 INFO::Creating boxplot for categorical data, antibiotics vs F859

## 2025-04-15 19:05:47.199045 INFO::Creating boxplot for categorical data, antibiotics vs F480

## 2025-04-15 19:05:47.394335 INFO::Creating boxplot for categorical data, antibiotics vs F507

## 2025-04-15 19:05:47.581123 INFO::Creating boxplot for categorical data, antibiotics vs F207

## 2025-04-15 19:05:49.993348 INFO::Plotting data for metadata number 3, age
## 2025-04-15 19:05:49.995474 INFO::Creating scatter plot for continuous data, age vs F340

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:50.248435 INFO::Creating scatter plot for continuous data, age vs F603

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:50.516994 INFO::Creating scatter plot for continuous data, age vs F356

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:50.716305 INFO::Creating scatter plot for continuous data, age vs F181

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:50.929232 INFO::Creating scatter plot for continuous data, age vs F177

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:51.124626 INFO::Creating scatter plot for continuous data, age vs F390

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:51.319284 INFO::Creating scatter plot for continuous data, age vs F743

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:51.50088 INFO::Creating scatter plot for continuous data, age vs F491

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:51.733737 INFO::Creating scatter plot for continuous data, age vs F436

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:51.923125 INFO::Creating scatter plot for continuous data, age vs F219

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:52.12167 INFO::Creating scatter plot for continuous data, age vs F483

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:52.331749 INFO::Creating scatter plot for continuous data, age vs F878

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:52.563181 INFO::Creating scatter plot for continuous data, age vs F876

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:52.767693 INFO::Creating scatter plot for continuous data, age vs F211

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:52.969023 INFO::Creating scatter plot for continuous data, age vs F732

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:53.170667 INFO::Creating scatter plot for continuous data, age vs F222

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:53.397803 INFO::Creating scatter plot for continuous data, age vs F688

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:53.601743 INFO::Creating scatter plot for continuous data, age vs F170

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:53.809264 INFO::Creating scatter plot for continuous data, age vs F431

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:54.015204 INFO::Creating scatter plot for continuous data, age vs F174

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:54.220414 INFO::Creating scatter plot for continuous data, age vs F17

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:54.408041 INFO::Creating scatter plot for continuous data, age vs F334

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:54.616027 INFO::Creating scatter plot for continuous data, age vs F835

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:54.807157 INFO::Creating scatter plot for continuous data, age vs F223

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:55.030877 INFO::Creating scatter plot for continuous data, age vs F383

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:55.218117 INFO::Creating scatter plot for continuous data, age vs F623

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:55.417776 INFO::Creating scatter plot for continuous data, age vs F329

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:55.613914 INFO::Creating scatter plot for continuous data, age vs F395

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:55.836352 INFO::Creating scatter plot for continuous data, age vs F528

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:56.025695 INFO::Creating scatter plot for continuous data, age vs F13

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:56.209855 INFO::Creating scatter plot for continuous data, age vs F36

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:56.392489 INFO::Creating scatter plot for continuous data, age vs F285

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:56.61202 INFO::Creating scatter plot for continuous data, age vs F404

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:56.79535 INFO::Creating scatter plot for continuous data, age vs F894

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:56.992958 INFO::Creating scatter plot for continuous data, age vs F300

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:57.192995 INFO::Creating scatter plot for continuous data, age vs F32

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:57.411309 INFO::Creating scatter plot for continuous data, age vs F24

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:57.609428 INFO::Creating scatter plot for continuous data, age vs F97

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:57.796247 INFO::Creating scatter plot for continuous data, age vs F849

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:57.981264 INFO::Creating scatter plot for continuous data, age vs F185

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:58.199907 INFO::Creating scatter plot for continuous data, age vs F513

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:58.39515 INFO::Creating scatter plot for continuous data, age vs F296

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:58.593713 INFO::Creating scatter plot for continuous data, age vs F471

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:58.800844 INFO::Creating scatter plot for continuous data, age vs F793

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:59.02246 INFO::Creating scatter plot for continuous data, age vs F402

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:59.219667 INFO::Creating scatter plot for continuous data, age vs F541

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:59.413163 INFO::Creating scatter plot for continuous data, age vs F496

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:59.60939 INFO::Creating scatter plot for continuous data, age vs F386

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:05:59.798754 INFO::Creating scatter plot for continuous data, age vs F594

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:05:59.998426 INFO::Creating scatter plot for continuous data, age vs F704

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:00.184727 INFO::Creating scatter plot for continuous data, age vs F330

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:00.398514 INFO::Creating scatter plot for continuous data, age vs F197

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:00.601559 INFO::Creating scatter plot for continuous data, age vs F735

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:00.799787 INFO::Creating scatter plot for continuous data, age vs F481

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:00.990835 INFO::Creating scatter plot for continuous data, age vs F635

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:01.304203 INFO::Creating scatter plot for continuous data, age vs F687

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:01.510759 INFO::Creating scatter plot for continuous data, age vs F652

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:01.718735 INFO::Creating scatter plot for continuous data, age vs F651

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:01.925013 INFO::Creating scatter plot for continuous data, age vs F82

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:02.133069 INFO::Creating scatter plot for continuous data, age vs F7

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:02.319522 INFO::Creating scatter plot for continuous data, age vs F866

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:02.524091 INFO::Creating scatter plot for continuous data, age vs F593

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:02.7162 INFO::Creating scatter plot for continuous data, age vs F733

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:02.902174 INFO::Creating scatter plot for continuous data, age vs F684

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:03.129247 INFO::Creating scatter plot for continuous data, age vs F410

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:03.325837 INFO::Creating scatter plot for continuous data, age vs F224

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:03.553865 INFO::Creating scatter plot for continuous data, age vs F722

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:03.753647 INFO::Creating scatter plot for continuous data, age vs F856

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:03.959903 INFO::Creating scatter plot for continuous data, age vs F680

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:04.150911 INFO::Creating scatter plot for continuous data, age vs F19

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:04.373184 INFO::Creating scatter plot for continuous data, age vs F860

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:04.565815 INFO::Creating scatter plot for continuous data, age vs F859

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:04.79374 INFO::Creating scatter plot for continuous data, age vs F522

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:04.997695 INFO::Creating scatter plot for continuous data, age vs F372

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:05.207325 INFO::Creating scatter plot for continuous data, age vs F899

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:05.395111 INFO::Creating scatter plot for continuous data, age vs F782

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:05.618797 INFO::Creating scatter plot for continuous data, age vs F839

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:05.815089 INFO::Creating scatter plot for continuous data, age vs F827

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:06.025332 INFO::Creating scatter plot for continuous data, age vs F817

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:06.232655 INFO::Creating scatter plot for continuous data, age vs F345

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:06.435415 INFO::Creating scatter plot for continuous data, age vs F127

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:06.637842 INFO::Creating scatter plot for continuous data, age vs F749

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:06.845179 INFO::Creating scatter plot for continuous data, age vs F877

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:07.050024 INFO::Creating scatter plot for continuous data, age vs F150

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:07.284164 INFO::Creating scatter plot for continuous data, age vs F752

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:07.471702 INFO::Creating scatter plot for continuous data, age vs F848

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:07.66932 INFO::Creating scatter plot for continuous data, age vs F809

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:07.877529 INFO::Creating scatter plot for continuous data, age vs F751

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:08.094553 INFO::Creating scatter plot for continuous data, age vs F15

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:08.278241 INFO::Creating scatter plot for continuous data, age vs F521

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:08.464195 INFO::Creating scatter plot for continuous data, age vs F842

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:08.66075 INFO::Creating scatter plot for continuous data, age vs F319

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:08.87402 INFO::Creating scatter plot for continuous data, age vs F96

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:09.079078 INFO::Creating scatter plot for continuous data, age vs F171

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:09.290398 INFO::Creating scatter plot for continuous data, age vs F241

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:09.490452 INFO::Creating scatter plot for continuous data, age vs F582

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:09.703192 INFO::Creating scatter plot for continuous data, age vs F822

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:09.885855 INFO::Creating scatter plot for continuous data, age vs F748

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:10.075145 INFO::Creating scatter plot for continuous data, age vs F147

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:10.278673 INFO::Creating scatter plot for continuous data, age vs F16

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:10.485916 INFO::Creating scatter plot for continuous data, age vs F212

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:10.693551 INFO::Creating scatter plot for continuous data, age vs F718

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:10.899316 INFO::Creating scatter plot for continuous data, age vs F663

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:11.084375 INFO::Creating scatter plot for continuous data, age vs F690

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:11.309247 INFO::Creating scatter plot for continuous data, age vs F865

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:11.490808 INFO::Creating scatter plot for continuous data, age vs F421

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:11.674505 INFO::Creating scatter plot for continuous data, age vs F110

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:11.878552 INFO::Creating scatter plot for continuous data, age vs F857

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:12.095515 INFO::Creating scatter plot for continuous data, age vs F84

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:12.296594 INFO::Creating scatter plot for continuous data, age vs F123

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:12.482507 INFO::Creating scatter plot for continuous data, age vs F566

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:12.666369 INFO::Creating scatter plot for continuous data, age vs F370

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:12.868495 INFO::Creating scatter plot for continuous data, age vs F65

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:13.051301 INFO::Creating scatter plot for continuous data, age vs F119

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:13.235628 INFO::Creating scatter plot for continuous data, age vs F263

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:13.418422 INFO::Creating scatter plot for continuous data, age vs F630

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:13.629295 INFO::Creating scatter plot for continuous data, age vs F628

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:13.812754 INFO::Creating scatter plot for continuous data, age vs F711

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:14.008746 INFO::Creating scatter plot for continuous data, age vs F152

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:14.203343 INFO::Creating scatter plot for continuous data, age vs F324

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:14.419447 INFO::Creating scatter plot for continuous data, age vs F575

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:14.601096 INFO::Creating scatter plot for continuous data, age vs F699

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:14.799114 INFO::Creating scatter plot for continuous data, age vs F846

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:14.993997 INFO::Creating scatter plot for continuous data, age vs F380

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:15.2079 INFO::Creating scatter plot for continuous data, age vs F172

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:15.405752 INFO::Creating scatter plot for continuous data, age vs F504

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:15.589248 INFO::Creating scatter plot for continuous data, age vs F34

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:15.770495 INFO::Creating scatter plot for continuous data, age vs F199

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:15.988839 INFO::Creating scatter plot for continuous data, age vs F198

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:16.188402 INFO::Creating scatter plot for continuous data, age vs F479

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:16.386978 INFO::Creating scatter plot for continuous data, age vs F673

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:16.574035 INFO::Creating scatter plot for continuous data, age vs F508

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:16.799841 INFO::Creating scatter plot for continuous data, age vs F337

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:16.996438 INFO::Creating scatter plot for continuous data, age vs F737

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:17.196101 INFO::Creating scatter plot for continuous data, age vs F609

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:17.393164 INFO::Creating scatter plot for continuous data, age vs F40

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:17.594536 INFO::Creating scatter plot for continuous data, age vs F821

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:17.838234 INFO::Creating scatter plot for continuous data, age vs F643

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:18.029669 INFO::Creating scatter plot for continuous data, age vs F759

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:18.212897 INFO::Creating scatter plot for continuous data, age vs F417

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:18.477058 INFO::Creating scatter plot for continuous data, age vs F58

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:18.679113 INFO::Creating scatter plot for continuous data, age vs F267

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:18.884998 INFO::Creating scatter plot for continuous data, age vs F101

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:19.07595 INFO::Creating scatter plot for continuous data, age vs F890

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:19.313329 INFO::Creating scatter plot for continuous data, age vs F655

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:19.511385 INFO::Creating scatter plot for continuous data, age vs F95

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:19.698628 INFO::Creating scatter plot for continuous data, age vs F775

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:19.884838 INFO::Creating scatter plot for continuous data, age vs F93

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:20.109117 INFO::Creating scatter plot for continuous data, age vs F353

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:20.290807 INFO::Creating scatter plot for continuous data, age vs F480

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:20.500685 INFO::Creating scatter plot for continuous data, age vs F567

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:20.700147 INFO::Creating scatter plot for continuous data, age vs F871

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:20.92395 INFO::Creating scatter plot for continuous data, age vs F295

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:21.11158 INFO::Creating scatter plot for continuous data, age vs F459

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:21.318711 INFO::Creating scatter plot for continuous data, age vs F812

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:21.52483 INFO::Creating scatter plot for continuous data, age vs F146

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:21.743957 INFO::Creating scatter plot for continuous data, age vs F239

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:21.946175 INFO::Creating scatter plot for continuous data, age vs F754

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:22.146511 INFO::Creating scatter plot for continuous data, age vs F443

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:22.333907 INFO::Creating scatter plot for continuous data, age vs F5

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:22.553107 INFO::Creating scatter plot for continuous data, age vs F864

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:06:22.738165 INFO::Creating scatter plot for continuous data, age vs F477

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:22.944955 INFO::Creating scatter plot for continuous data, age vs F571

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-15 19:06:23.148629 INFO::Creating scatter plot for continuous data, age vs F715

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features

## 2025-04-15 19:06:25.72684 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2025-04-15 19:06:25.735261 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2025-04-15 19:06:25.757719 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()

## R version 4.5.0 RC (2025-04-04 r88126)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.2 LTS
## 
## Matrix products: default
## BLAS:   /home/biocbuild/bbs-3.21-bioc/R/lib/libRblas.so 
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_GB              LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: America/New_York
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.12.0             SummarizedExperiment_1.38.0
##  [3] Biobase_2.68.0              GenomicRanges_1.60.0       
##  [5] GenomeInfoDb_1.44.0         IRanges_2.42.0             
##  [7] S4Vectors_0.46.0            BiocGenerics_0.54.0        
##  [9] generics_0.1.3              MatrixGenerics_1.20.0      
## [11] matrixStats_1.5.0           BiocStyle_2.36.0           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.6             magrittr_2.0.3         
##   [7] compiler_4.5.0          RSQLite_2.3.9           mgcv_1.9-3             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.48.0          labeling_0.4.3         
##  [19] rmarkdown_2.29          UCSC.utils_1.4.0        preprocessCore_1.70.0  
##  [22] bit_4.6.0               xfun_0.52               cachem_1.1.0           
##  [25] jsonlite_2.0.0          blob_1.2.4              DelayedArray_0.34.0    
##  [28] BiocParallel_1.42.0     psych_2.5.3             Maaslin2_1.22.0        
##  [31] parallel_4.5.0          cluster_2.1.8.1         biglm_0.9-3            
##  [34] R6_2.6.1                RColorBrewer_1.1-3      bslib_0.9.0            
##  [37] stringi_1.8.7           rpart_4.1.24            jquerylib_0.1.4        
##  [40] Rcpp_1.0.14             bookdown_0.43           iterators_1.0.14       
##  [43] knitr_1.50              WGCNA_1.73              base64enc_0.1-3        
##  [46] Matrix_1.7-3            splines_4.5.0           nnet_7.3-20            
##  [49] tidyselect_1.2.1        rstudioapi_0.17.1       abind_1.4-8            
##  [52] yaml_2.3.10             doParallel_1.0.17       codetools_0.2-20       
##  [55] plyr_1.8.9              lattice_0.22-7          tibble_3.2.1           
##  [58] withr_3.0.2             KEGGREST_1.48.0         evaluate_1.0.3         
##  [61] foreign_0.8-90          survival_3.8-3          getopt_1.20.4          
##  [64] Biostrings_2.76.0       pillar_1.10.2           BiocManager_1.30.25    
##  [67] checkmate_2.3.2         foreach_1.5.2           pcaPP_2.0-5            
##  [70] ggplot2_3.5.2           munsell_0.5.1           scales_1.3.0           
##  [73] glue_1.8.0              Hmisc_5.2-3             tools_4.5.0            
##  [76] robustbase_0.99-4-1     data.table_1.17.0       mvtnorm_1.3-3          
##  [79] fastcluster_1.2.6       grid_4.5.0              optparse_1.7.5         
##  [82] impute_1.82.0           AnnotationDbi_1.70.0    colorspace_2.1-1       
##  [85] nlme_3.1-168            GenomeInfoDbData_1.2.14 htmlTable_2.4.3        
##  [88] Formula_1.2-5           cli_3.6.4               S4Arrays_1.8.0         
##  [91] dplyr_1.1.4             DEoptimR_1.1-3-1        gtable_0.3.6           
##  [94] hash_2.2.6.3            logging_0.10-108        dynamicTreeCut_1.63-1  
##  [97] sass_0.4.10             digest_0.6.37           SparseArray_1.8.0      
## [100] farver_2.1.2            htmlwidgets_1.6.4       memoise_2.0.1          
## [103] htmltools_0.5.8.1       lifecycle_1.0.4         httr_1.4.7             
## [106] GO.db_3.21.0            bit64_4.6.0-1

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

Total modules: Number of modules.
Singletons: Number of metabolic features that were not assigned to any module at MMS.
% Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
% Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
Max subclasses per module: The highest number of chemical subclasses observed in any module.
90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
% Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.

Macarron User Manual

15 April 2025