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: '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 19:25:49.477987 INFO::Creating output folder.
## 2025-04-15 19:25:49.491474 INFO::Writing function arguments to log file

## Samples with both abundances and metadata: 102

## 2025-04-15 19:25:49.553528 INFO::Summarized Experiment created.
## 2025-04-15 19:25:49.555157 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 19:25:53.939572 INFO::Distance matrix with 869 metabolic features created.

## Initiating module detection

## 2025-04-15 19:25:53.941105 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 19:25:55.332953 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 19:25:57.455245 INFO::Writing function arguments to log file
## 2025-04-15 19:25:57.460451 INFO::Verifying options selected are valid
## 2025-04-15 19:25:57.50037 INFO::Determining format of input files
## 2025-04-15 19:25:57.501403 INFO::Input format is data samples as columns and metadata samples as rows
## 2025-04-15 19:25:57.516403 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2025-04-15 19:25:57.517838 INFO::Filter data based on min abundance and min prevalence
## 2025-04-15 19:25:57.518523 INFO::Total samples in data: 102
## 2025-04-15 19:25:57.519153 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2025-04-15 19:25:57.530621 INFO::Total filtered features: 0
## 2025-04-15 19:25:57.531602 INFO::Filtered feature names from abundance and prevalence filtering:
## 2025-04-15 19:25:57.548882 INFO::Total filtered features with variance filtering: 0
## 2025-04-15 19:25:57.549906 INFO::Filtered feature names from variance filtering:
## 2025-04-15 19:25:57.550568 INFO::Running selected normalization method: NONE
## 2025-04-15 19:25:57.551265 INFO::Applying z-score to standardize continuous metadata
## 2025-04-15 19:25:57.571963 INFO::Running selected transform method: NONE
## 2025-04-15 19:25:57.572809 INFO::Running selected analysis method: LM
## 2025-04-15 19:25:57.577693 INFO::Fitting model to feature number 1, F1
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## 2025-04-15 19:25:58.110253 INFO::Fitting model to feature number 160, F166
## 2025-04-15 19:25:58.113554 INFO::Fitting model to feature number 161, F167
## 2025-04-15 19:25:58.116825 INFO::Fitting model to feature number 162, F168
## 2025-04-15 19:25:58.120116 INFO::Fitting model to feature number 163, F169
## 2025-04-15 19:25:58.123379 INFO::Fitting model to feature number 164, F170
## 2025-04-15 19:25:58.126652 INFO::Fitting model to feature number 165, F171
## 2025-04-15 19:25:58.129919 INFO::Fitting model to feature number 166, F172
## 2025-04-15 19:25:58.133235 INFO::Fitting model to feature number 167, F173
## 2025-04-15 19:25:58.136566 INFO::Fitting model to feature number 168, F174
## 2025-04-15 19:25:58.139895 INFO::Fitting model to feature number 169, F175
## 2025-04-15 19:25:58.143231 INFO::Fitting model to feature number 170, F176
## 2025-04-15 19:25:58.146559 INFO::Fitting model to feature number 171, F177
## 2025-04-15 19:25:58.198997 INFO::Fitting model to feature number 172, F178
## 2025-04-15 19:25:58.204356 INFO::Fitting model to feature number 173, F179
## 2025-04-15 19:25:58.207875 INFO::Fitting model to feature number 174, F180
## 2025-04-15 19:25:58.211264 INFO::Fitting model to feature number 175, F181
## 2025-04-15 19:25:58.214534 INFO::Fitting model to feature number 176, F182
## 2025-04-15 19:25:58.217853 INFO::Fitting model to feature number 177, F183
## 2025-04-15 19:25:58.221117 INFO::Fitting model to feature number 178, F184
## 2025-04-15 19:25:58.224468 INFO::Fitting model to feature number 179, F185
## 2025-04-15 19:25:58.227778 INFO::Fitting model to feature number 180, F186
## 2025-04-15 19:25:58.231068 INFO::Fitting model to feature number 181, F187
## 2025-04-15 19:25:58.234317 INFO::Fitting model to feature number 182, F188
## 2025-04-15 19:25:58.237553 INFO::Fitting model to feature number 183, F189
## 2025-04-15 19:25:58.240773 INFO::Fitting model to feature number 184, F190
## 2025-04-15 19:25:58.244023 INFO::Fitting model to feature number 185, F191
## 2025-04-15 19:25:58.247241 INFO::Fitting model to feature number 186, F192
## 2025-04-15 19:25:58.250466 INFO::Fitting model to feature number 187, F193
## 2025-04-15 19:25:58.253683 INFO::Fitting model to feature number 188, F194
## 2025-04-15 19:25:58.256896 INFO::Fitting model to feature number 189, F195
## 2025-04-15 19:25:58.260122 INFO::Fitting model to feature number 190, F196
## 2025-04-15 19:25:58.263335 INFO::Fitting model to feature number 191, F197
## 2025-04-15 19:25:58.266536 INFO::Fitting model to feature number 192, F198
## 2025-04-15 19:25:58.26976 INFO::Fitting model to feature number 193, F199
## 2025-04-15 19:25:58.272967 INFO::Fitting model to feature number 194, F200
## 2025-04-15 19:25:58.276176 INFO::Fitting model to feature number 195, F201
## 2025-04-15 19:25:58.279362 INFO::Fitting model to feature number 196, F202
## 2025-04-15 19:25:58.282563 INFO::Fitting model to feature number 197, F203
## 2025-04-15 19:25:58.285761 INFO::Fitting model to feature number 198, F204
## 2025-04-15 19:25:58.288973 INFO::Fitting model to feature number 199, F206
## 2025-04-15 19:25:58.292189 INFO::Fitting model to feature number 200, F207
## 2025-04-15 19:25:58.295387 INFO::Fitting model to feature number 201, F208
## 2025-04-15 19:25:58.298585 INFO::Fitting model to feature number 202, F209
## 2025-04-15 19:25:58.301769 INFO::Fitting model to feature number 203, F210
## 2025-04-15 19:25:58.304978 INFO::Fitting model to feature number 204, F211
## 2025-04-15 19:25:58.308177 INFO::Fitting model to feature number 205, F212
## 2025-04-15 19:25:58.311388 INFO::Fitting model to feature number 206, F213
## 2025-04-15 19:25:58.314589 INFO::Fitting model to feature number 207, F214
## 2025-04-15 19:25:58.317783 INFO::Fitting model to feature number 208, F215
## 2025-04-15 19:25:58.321006 INFO::Fitting model to feature number 209, F216
## 2025-04-15 19:25:58.324222 INFO::Fitting model to feature number 210, F217
## 2025-04-15 19:25:58.327422 INFO::Fitting model to feature number 211, F218
## 2025-04-15 19:25:58.330622 INFO::Fitting model to feature number 212, F219
## 2025-04-15 19:25:58.333831 INFO::Fitting model to feature number 213, F220
## 2025-04-15 19:25:58.33704 INFO::Fitting model to feature number 214, F221
## 2025-04-15 19:25:58.340258 INFO::Fitting model to feature number 215, F222
## 2025-04-15 19:25:58.343507 INFO::Fitting model to feature number 216, F223
## 2025-04-15 19:25:58.346738 INFO::Fitting model to feature number 217, F224
## 2025-04-15 19:25:58.349949 INFO::Fitting model to feature number 218, F225
## 2025-04-15 19:25:58.353149 INFO::Fitting model to feature number 219, F226
## 2025-04-15 19:25:58.35629 INFO::Fitting model to feature number 220, F227
## 2025-04-15 19:25:58.359519 INFO::Fitting model to feature number 221, F228
## 2025-04-15 19:25:58.362731 INFO::Fitting model to feature number 222, F229
## 2025-04-15 19:25:58.365941 INFO::Fitting model to feature number 223, F230
## 2025-04-15 19:25:58.369159 INFO::Fitting model to feature number 224, F231
## 2025-04-15 19:25:58.372378 INFO::Fitting model to feature number 225, F232
## 2025-04-15 19:25:58.375608 INFO::Fitting model to feature number 226, F233
## 2025-04-15 19:25:58.378835 INFO::Fitting model to feature number 227, F234
## 2025-04-15 19:25:58.382084 INFO::Fitting model to feature number 228, F235
## 2025-04-15 19:25:58.385307 INFO::Fitting model to feature number 229, F236
## 2025-04-15 19:25:58.38856 INFO::Fitting model to feature number 230, F237
## 2025-04-15 19:25:58.391788 INFO::Fitting model to feature number 231, F238
## 2025-04-15 19:25:58.394953 INFO::Fitting model to feature number 232, F239
## 2025-04-15 19:25:58.398134 INFO::Fitting model to feature number 233, F240
## 2025-04-15 19:25:58.401362 INFO::Fitting model to feature number 234, F241
## 2025-04-15 19:25:58.404592 INFO::Fitting model to feature number 235, F242
## 2025-04-15 19:25:58.407777 INFO::Fitting model to feature number 236, F243
## 2025-04-15 19:25:58.411036 INFO::Fitting model to feature number 237, F244
## 2025-04-15 19:25:58.414289 INFO::Fitting model to feature number 238, F245
## 2025-04-15 19:25:58.417524 INFO::Fitting model to feature number 239, F246
## 2025-04-15 19:25:58.420743 INFO::Fitting model to feature number 240, F247
## 2025-04-15 19:25:58.423977 INFO::Fitting model to feature number 241, F248
## 2025-04-15 19:25:58.427205 INFO::Fitting model to feature number 242, F249
## 2025-04-15 19:25:58.430462 INFO::Fitting model to feature number 243, F250
## 2025-04-15 19:25:58.433728 INFO::Fitting model to feature number 244, F252
## 2025-04-15 19:25:58.436984 INFO::Fitting model to feature number 245, F253
## 2025-04-15 19:25:58.44021 INFO::Fitting model to feature number 246, F254
## 2025-04-15 19:25:58.443374 INFO::Fitting model to feature number 247, F255
## 2025-04-15 19:25:58.44661 INFO::Fitting model to feature number 248, F256
## 2025-04-15 19:25:58.449837 INFO::Fitting model to feature number 249, F257
## 2025-04-15 19:25:58.453068 INFO::Fitting model to feature number 250, F259
## 2025-04-15 19:25:58.456305 INFO::Fitting model to feature number 251, F260
## 2025-04-15 19:25:58.459529 INFO::Fitting model to feature number 252, F261
## 2025-04-15 19:25:58.462765 INFO::Fitting model to feature number 253, F262
## 2025-04-15 19:25:58.466007 INFO::Fitting model to feature number 254, F263
## 2025-04-15 19:25:58.46926 INFO::Fitting model to feature number 255, F264
## 2025-04-15 19:25:58.472505 INFO::Fitting model to feature number 256, F265
## 2025-04-15 19:25:58.475754 INFO::Fitting model to feature number 257, F266
## 2025-04-15 19:25:58.478959 INFO::Fitting model to feature number 258, F267
## 2025-04-15 19:25:58.482263 INFO::Fitting model to feature number 259, F269
## 2025-04-15 19:25:58.485499 INFO::Fitting model to feature number 260, F270
## 2025-04-15 19:25:58.488764 INFO::Fitting model to feature number 261, F271
## 2025-04-15 19:25:58.491987 INFO::Fitting model to feature number 262, F272
## 2025-04-15 19:25:58.495194 INFO::Fitting model to feature number 263, F273
## 2025-04-15 19:25:58.498405 INFO::Fitting model to feature number 264, F274
## 2025-04-15 19:25:58.501614 INFO::Fitting model to feature number 265, F276
## 2025-04-15 19:25:58.504817 INFO::Fitting model to feature number 266, F277
## 2025-04-15 19:25:58.50804 INFO::Fitting model to feature number 267, F278
## 2025-04-15 19:25:58.511285 INFO::Fitting model to feature number 268, F279
## 2025-04-15 19:25:58.514526 INFO::Fitting model to feature number 269, F280
## 2025-04-15 19:25:58.517757 INFO::Fitting model to feature number 270, F281
## 2025-04-15 19:25:58.521008 INFO::Fitting model to feature number 271, F282
## 2025-04-15 19:25:58.524281 INFO::Fitting model to feature number 272, F283
## 2025-04-15 19:25:58.527522 INFO::Fitting model to feature number 273, F284
## 2025-04-15 19:25:58.530749 INFO::Fitting model to feature number 274, F285
## 2025-04-15 19:25:58.533986 INFO::Fitting model to feature number 275, F286
## 2025-04-15 19:25:58.537205 INFO::Fitting model to feature number 276, F287
## 2025-04-15 19:25:58.540455 INFO::Fitting model to feature number 277, F288
## 2025-04-15 19:25:58.543683 INFO::Fitting model to feature number 278, F289
## 2025-04-15 19:25:58.546914 INFO::Fitting model to feature number 279, F290
## 2025-04-15 19:25:58.550137 INFO::Fitting model to feature number 280, F292
## 2025-04-15 19:25:58.553342 INFO::Fitting model to feature number 281, F293
## 2025-04-15 19:25:58.55655 INFO::Fitting model to feature number 282, F294
## 2025-04-15 19:25:58.559756 INFO::Fitting model to feature number 283, F295
## 2025-04-15 19:25:58.562974 INFO::Fitting model to feature number 284, F296
## 2025-04-15 19:25:58.566175 INFO::Fitting model to feature number 285, F297
## 2025-04-15 19:25:58.569381 INFO::Fitting model to feature number 286, F298
## 2025-04-15 19:25:58.572597 INFO::Fitting model to feature number 287, F299
## 2025-04-15 19:25:58.575806 INFO::Fitting model to feature number 288, F300
## 2025-04-15 19:25:58.579035 INFO::Fitting model to feature number 289, F301
## 2025-04-15 19:25:58.582243 INFO::Fitting model to feature number 290, F302
## 2025-04-15 19:25:58.58545 INFO::Fitting model to feature number 291, F303
## 2025-04-15 19:25:58.58864 INFO::Fitting model to feature number 292, F304
## 2025-04-15 19:25:58.591846 INFO::Fitting model to feature number 293, F305
## 2025-04-15 19:25:58.595057 INFO::Fitting model to feature number 294, F306
## 2025-04-15 19:25:58.598266 INFO::Fitting model to feature number 295, F307
## 2025-04-15 19:25:58.601478 INFO::Fitting model to feature number 296, F308
## 2025-04-15 19:25:58.605271 INFO::Fitting model to feature number 297, F309
## 2025-04-15 19:25:58.609746 INFO::Fitting model to feature number 298, F310
## 2025-04-15 19:25:58.614235 INFO::Fitting model to feature number 299, F311
## 2025-04-15 19:25:58.618682 INFO::Fitting model to feature number 300, F312
## 2025-04-15 19:25:58.623218 INFO::Fitting model to feature number 301, F313
## 2025-04-15 19:25:58.627834 INFO::Fitting model to feature number 302, F315
## 2025-04-15 19:25:58.632363 INFO::Fitting model to feature number 303, F316
## 2025-04-15 19:25:58.636977 INFO::Fitting model to feature number 304, F317
## 2025-04-15 19:25:58.641672 INFO::Fitting model to feature number 305, F318
## 2025-04-15 19:25:58.646577 INFO::Fitting model to feature number 306, F319
## 2025-04-15 19:25:58.651589 INFO::Fitting model to feature number 307, F320
## 2025-04-15 19:25:58.65658 INFO::Fitting model to feature number 308, F321
## 2025-04-15 19:25:58.661586 INFO::Fitting model to feature number 309, F322
## 2025-04-15 19:25:58.666622 INFO::Fitting model to feature number 310, F323
## 2025-04-15 19:25:58.671516 INFO::Fitting model to feature number 311, F324
## 2025-04-15 19:25:58.676374 INFO::Fitting model to feature number 312, F325
## 2025-04-15 19:25:58.681213 INFO::Fitting model to feature number 313, F326
## 2025-04-15 19:25:58.685981 INFO::Fitting model to feature number 314, F327
## 2025-04-15 19:25:58.690783 INFO::Fitting model to feature number 315, F328
## 2025-04-15 19:25:58.695578 INFO::Fitting model to feature number 316, F329
## 2025-04-15 19:25:58.700303 INFO::Fitting model to feature number 317, F330
## 2025-04-15 19:25:58.704984 INFO::Fitting model to feature number 318, F331
## 2025-04-15 19:25:58.709607 INFO::Fitting model to feature number 319, F332
## 2025-04-15 19:25:58.714293 INFO::Fitting model to feature number 320, F333
## 2025-04-15 19:25:58.719062 INFO::Fitting model to feature number 321, F334
## 2025-04-15 19:25:58.72367 INFO::Fitting model to feature number 322, F335
## 2025-04-15 19:25:58.72839 INFO::Fitting model to feature number 323, F336
## 2025-04-15 19:25:58.733182 INFO::Fitting model to feature number 324, F337
## 2025-04-15 19:25:58.737843 INFO::Fitting model to feature number 325, F338
## 2025-04-15 19:25:58.741512 INFO::Fitting model to feature number 326, F339
## 2025-04-15 19:25:58.74488 INFO::Fitting model to feature number 327, F340
## 2025-04-15 19:25:58.748289 INFO::Fitting model to feature number 328, F342
## 2025-04-15 19:25:58.751682 INFO::Fitting model to feature number 329, F343
## 2025-04-15 19:25:58.755082 INFO::Fitting model to feature number 330, F344
## 2025-04-15 19:25:58.758503 INFO::Fitting model to feature number 331, F345
## 2025-04-15 19:25:58.761915 INFO::Fitting model to feature number 332, F346
## 2025-04-15 19:25:58.765277 INFO::Fitting model to feature number 333, F347
## 2025-04-15 19:25:58.768647 INFO::Fitting model to feature number 334, F348
## 2025-04-15 19:25:58.772023 INFO::Fitting model to feature number 335, F350
## 2025-04-15 19:25:58.775398 INFO::Fitting model to feature number 336, F351
## 2025-04-15 19:25:58.778774 INFO::Fitting model to feature number 337, F352
## 2025-04-15 19:25:58.782154 INFO::Fitting model to feature number 338, F353
## 2025-04-15 19:25:58.785532 INFO::Fitting model to feature number 339, F355
## 2025-04-15 19:25:58.788919 INFO::Fitting model to feature number 340, F356
## 2025-04-15 19:25:58.792285 INFO::Fitting model to feature number 341, F357
## 2025-04-15 19:25:58.795654 INFO::Fitting model to feature number 342, F358
## 2025-04-15 19:25:58.799066 INFO::Fitting model to feature number 343, F359
## 2025-04-15 19:25:58.802444 INFO::Fitting model to feature number 344, F360
## 2025-04-15 19:25:58.805812 INFO::Fitting model to feature number 345, F361
## 2025-04-15 19:25:58.809189 INFO::Fitting model to feature number 346, F362
## 2025-04-15 19:25:58.812561 INFO::Fitting model to feature number 347, F363
## 2025-04-15 19:25:58.816 INFO::Fitting model to feature number 348, F364
## 2025-04-15 19:25:58.819406 INFO::Fitting model to feature number 349, F365
## 2025-04-15 19:25:58.822801 INFO::Fitting model to feature number 350, F366
## 2025-04-15 19:25:58.826185 INFO::Fitting model to feature number 351, F367
## 2025-04-15 19:25:58.829557 INFO::Fitting model to feature number 352, F368
## 2025-04-15 19:25:58.832935 INFO::Fitting model to feature number 353, F369
## 2025-04-15 19:25:58.836343 INFO::Fitting model to feature number 354, F370
## 2025-04-15 19:25:58.839708 INFO::Fitting model to feature number 355, F371
## 2025-04-15 19:25:58.843092 INFO::Fitting model to feature number 356, F372
## 2025-04-15 19:25:58.846487 INFO::Fitting model to feature number 357, F373
## 2025-04-15 19:25:58.849962 INFO::Fitting model to feature number 358, F374
## 2025-04-15 19:25:58.853437 INFO::Fitting model to feature number 359, F375
## 2025-04-15 19:25:58.856923 INFO::Fitting model to feature number 360, F376
## 2025-04-15 19:25:58.860375 INFO::Fitting model to feature number 361, F377
## 2025-04-15 19:25:58.863823 INFO::Fitting model to feature number 362, F378
## 2025-04-15 19:25:58.867313 INFO::Fitting model to feature number 363, F379
## 2025-04-15 19:25:58.87071 INFO::Fitting model to feature number 364, F380
## 2025-04-15 19:25:58.87414 INFO::Fitting model to feature number 365, F381
## 2025-04-15 19:25:58.877573 INFO::Fitting model to feature number 366, F382
## 2025-04-15 19:25:58.881025 INFO::Fitting model to feature number 367, F383
## 2025-04-15 19:25:58.884452 INFO::Fitting model to feature number 368, F384
## 2025-04-15 19:25:58.887893 INFO::Fitting model to feature number 369, F386
## 2025-04-15 19:25:58.89136 INFO::Fitting model to feature number 370, F387
## 2025-04-15 19:25:58.894787 INFO::Fitting model to feature number 371, F388
## 2025-04-15 19:25:58.898254 INFO::Fitting model to feature number 372, F389
## 2025-04-15 19:25:58.901667 INFO::Fitting model to feature number 373, F390
## 2025-04-15 19:25:58.905141 INFO::Fitting model to feature number 374, F391
## 2025-04-15 19:25:58.908554 INFO::Fitting model to feature number 375, F392
## 2025-04-15 19:25:58.91196 INFO::Fitting model to feature number 376, F393
## 2025-04-15 19:25:58.915315 INFO::Fitting model to feature number 377, F394
## 2025-04-15 19:25:58.918668 INFO::Fitting model to feature number 378, F395
## 2025-04-15 19:25:58.922073 INFO::Fitting model to feature number 379, F396
## 2025-04-15 19:25:58.925453 INFO::Fitting model to feature number 380, F397
## 2025-04-15 19:25:58.928819 INFO::Fitting model to feature number 381, F398
## 2025-04-15 19:25:58.93219 INFO::Fitting model to feature number 382, F399
## 2025-04-15 19:25:58.935558 INFO::Fitting model to feature number 383, F400
## 2025-04-15 19:25:58.938913 INFO::Fitting model to feature number 384, F401
## 2025-04-15 19:25:58.942294 INFO::Fitting model to feature number 385, F402
## 2025-04-15 19:25:58.945684 INFO::Fitting model to feature number 386, F403
## 2025-04-15 19:25:58.949088 INFO::Fitting model to feature number 387, F404
## 2025-04-15 19:25:58.952472 INFO::Fitting model to feature number 388, F406
## 2025-04-15 19:25:58.955863 INFO::Fitting model to feature number 389, F407
## 2025-04-15 19:25:58.959258 INFO::Fitting model to feature number 390, F408
## 2025-04-15 19:25:58.962628 INFO::Fitting model to feature number 391, F409
## 2025-04-15 19:25:58.966034 INFO::Fitting model to feature number 392, F410
## 2025-04-15 19:25:58.969408 INFO::Fitting model to feature number 393, F411
## 2025-04-15 19:25:58.972773 INFO::Fitting model to feature number 394, F412
## 2025-04-15 19:25:58.976171 INFO::Fitting model to feature number 395, F413
## 2025-04-15 19:25:58.979557 INFO::Fitting model to feature number 396, F414
## 2025-04-15 19:25:58.98296 INFO::Fitting model to feature number 397, F415
## 2025-04-15 19:25:58.986317 INFO::Fitting model to feature number 398, F416
## 2025-04-15 19:25:58.989722 INFO::Fitting model to feature number 399, F417
## 2025-04-15 19:25:58.993145 INFO::Fitting model to feature number 400, F418
## 2025-04-15 19:25:58.996554 INFO::Fitting model to feature number 401, F419
## 2025-04-15 19:25:58.99994 INFO::Fitting model to feature number 402, F420
## 2025-04-15 19:25:59.003318 INFO::Fitting model to feature number 403, F421
## 2025-04-15 19:25:59.006705 INFO::Fitting model to feature number 404, F422
## 2025-04-15 19:25:59.010042 INFO::Fitting model to feature number 405, F423
## 2025-04-15 19:25:59.013421 INFO::Fitting model to feature number 406, F425
## 2025-04-15 19:25:59.016854 INFO::Fitting model to feature number 407, F426
## 2025-04-15 19:25:59.020255 INFO::Fitting model to feature number 408, F428
## 2025-04-15 19:25:59.023641 INFO::Fitting model to feature number 409, F429
## 2025-04-15 19:25:59.027025 INFO::Fitting model to feature number 410, F430
## 2025-04-15 19:25:59.030416 INFO::Fitting model to feature number 411, F431
## 2025-04-15 19:25:59.033796 INFO::Fitting model to feature number 412, F432
## 2025-04-15 19:25:59.037174 INFO::Fitting model to feature number 413, F433
## 2025-04-15 19:25:59.040547 INFO::Fitting model to feature number 414, F434
## 2025-04-15 19:25:59.043933 INFO::Fitting model to feature number 415, F435
## 2025-04-15 19:25:59.047287 INFO::Fitting model to feature number 416, F436
## 2025-04-15 19:25:59.050658 INFO::Fitting model to feature number 417, F437
## 2025-04-15 19:25:59.054032 INFO::Fitting model to feature number 418, F438
## 2025-04-15 19:25:59.057392 INFO::Fitting model to feature number 419, F439
## 2025-04-15 19:25:59.06075 INFO::Fitting model to feature number 420, F440
## 2025-04-15 19:25:59.064116 INFO::Fitting model to feature number 421, F441
## 2025-04-15 19:25:59.067467 INFO::Fitting model to feature number 422, F442
## 2025-04-15 19:25:59.070818 INFO::Fitting model to feature number 423, F443
## 2025-04-15 19:25:59.074191 INFO::Fitting model to feature number 424, F444
## 2025-04-15 19:25:59.077554 INFO::Fitting model to feature number 425, F445
## 2025-04-15 19:25:59.080921 INFO::Fitting model to feature number 426, F446
## 2025-04-15 19:25:59.084202 INFO::Fitting model to feature number 427, F447
## 2025-04-15 19:25:59.087555 INFO::Fitting model to feature number 428, F448
## 2025-04-15 19:25:59.090932 INFO::Fitting model to feature number 429, F449
## 2025-04-15 19:25:59.094291 INFO::Fitting model to feature number 430, F450
## 2025-04-15 19:25:59.097668 INFO::Fitting model to feature number 431, F451
## 2025-04-15 19:25:59.101026 INFO::Fitting model to feature number 432, F452
## 2025-04-15 19:25:59.104364 INFO::Fitting model to feature number 433, F454
## 2025-04-15 19:25:59.107723 INFO::Fitting model to feature number 434, F455
## 2025-04-15 19:25:59.111077 INFO::Fitting model to feature number 435, F456
## 2025-04-15 19:25:59.114429 INFO::Fitting model to feature number 436, F457
## 2025-04-15 19:25:59.1178 INFO::Fitting model to feature number 437, F458
## 2025-04-15 19:25:59.12116 INFO::Fitting model to feature number 438, F459
## 2025-04-15 19:25:59.124496 INFO::Fitting model to feature number 439, F461
## 2025-04-15 19:25:59.127994 INFO::Fitting model to feature number 440, F462
## 2025-04-15 19:25:59.131342 INFO::Fitting model to feature number 441, F463
## 2025-04-15 19:25:59.134698 INFO::Fitting model to feature number 442, F464
## 2025-04-15 19:25:59.138087 INFO::Fitting model to feature number 443, F465
## 2025-04-15 19:25:59.141441 INFO::Fitting model to feature number 444, F466
## 2025-04-15 19:25:59.14482 INFO::Fitting model to feature number 445, F467
## 2025-04-15 19:25:59.148224 INFO::Fitting model to feature number 446, F468
## 2025-04-15 19:25:59.151592 INFO::Fitting model to feature number 447, F469
## 2025-04-15 19:25:59.154992 INFO::Fitting model to feature number 448, F470
## 2025-04-15 19:25:59.158376 INFO::Fitting model to feature number 449, F471
## 2025-04-15 19:25:59.161736 INFO::Fitting model to feature number 450, F474
## 2025-04-15 19:25:59.16513 INFO::Fitting model to feature number 451, F475
## 2025-04-15 19:25:59.168496 INFO::Fitting model to feature number 452, F476
## 2025-04-15 19:25:59.171858 INFO::Fitting model to feature number 453, F477
## 2025-04-15 19:25:59.175218 INFO::Fitting model to feature number 454, F478
## 2025-04-15 19:25:59.178566 INFO::Fitting model to feature number 455, F479
## 2025-04-15 19:25:59.181933 INFO::Fitting model to feature number 456, F480
## 2025-04-15 19:25:59.1853 INFO::Fitting model to feature number 457, F481
## 2025-04-15 19:25:59.188666 INFO::Fitting model to feature number 458, F482
## 2025-04-15 19:25:59.192055 INFO::Fitting model to feature number 459, F483
## 2025-04-15 19:25:59.195407 INFO::Fitting model to feature number 460, F484
## 2025-04-15 19:25:59.198761 INFO::Fitting model to feature number 461, F485
## 2025-04-15 19:25:59.202136 INFO::Fitting model to feature number 462, F486
## 2025-04-15 19:25:59.205491 INFO::Fitting model to feature number 463, F487
## 2025-04-15 19:25:59.226928 INFO::Fitting model to feature number 464, F488
## 2025-04-15 19:25:59.234034 INFO::Fitting model to feature number 465, F489
## 2025-04-15 19:25:59.237751 INFO::Fitting model to feature number 466, F490
## 2025-04-15 19:25:59.241343 INFO::Fitting model to feature number 467, F491
## 2025-04-15 19:25:59.244887 INFO::Fitting model to feature number 468, F492
## 2025-04-15 19:25:59.248377 INFO::Fitting model to feature number 469, F493
## 2025-04-15 19:25:59.251853 INFO::Fitting model to feature number 470, F494
## 2025-04-15 19:25:59.255343 INFO::Fitting model to feature number 471, F495
## 2025-04-15 19:25:59.258805 INFO::Fitting model to feature number 472, F496
## 2025-04-15 19:25:59.262294 INFO::Fitting model to feature number 473, F497
## 2025-04-15 19:25:59.265757 INFO::Fitting model to feature number 474, F498
## 2025-04-15 19:25:59.269192 INFO::Fitting model to feature number 475, F499
## 2025-04-15 19:25:59.272578 INFO::Fitting model to feature number 476, F500
## 2025-04-15 19:25:59.275972 INFO::Fitting model to feature number 477, F501
## 2025-04-15 19:25:59.279323 INFO::Fitting model to feature number 478, F502
## 2025-04-15 19:25:59.282628 INFO::Fitting model to feature number 479, F503
## 2025-04-15 19:25:59.285915 INFO::Fitting model to feature number 480, F504
## 2025-04-15 19:25:59.289181 INFO::Fitting model to feature number 481, F505
## 2025-04-15 19:25:59.292449 INFO::Fitting model to feature number 482, F506
## 2025-04-15 19:25:59.295717 INFO::Fitting model to feature number 483, F507
## 2025-04-15 19:25:59.298988 INFO::Fitting model to feature number 484, F508
## 2025-04-15 19:25:59.302239 INFO::Fitting model to feature number 485, F509
## 2025-04-15 19:25:59.305498 INFO::Fitting model to feature number 486, F510
## 2025-04-15 19:25:59.308683 INFO::Fitting model to feature number 487, F511
## 2025-04-15 19:25:59.31196 INFO::Fitting model to feature number 488, F512
## 2025-04-15 19:25:59.315234 INFO::Fitting model to feature number 489, F513
## 2025-04-15 19:25:59.318514 INFO::Fitting model to feature number 490, F514
## 2025-04-15 19:25:59.32178 INFO::Fitting model to feature number 491, F515
## 2025-04-15 19:25:59.325082 INFO::Fitting model to feature number 492, F516
## 2025-04-15 19:25:59.328344 INFO::Fitting model to feature number 493, F517
## 2025-04-15 19:25:59.331604 INFO::Fitting model to feature number 494, F518
## 2025-04-15 19:25:59.334863 INFO::Fitting model to feature number 495, F519
## 2025-04-15 19:25:59.338126 INFO::Fitting model to feature number 496, F520
## 2025-04-15 19:25:59.341377 INFO::Fitting model to feature number 497, F521
## 2025-04-15 19:25:59.344664 INFO::Fitting model to feature number 498, F522
## 2025-04-15 19:25:59.347932 INFO::Fitting model to feature number 499, F523
## 2025-04-15 19:25:59.351197 INFO::Fitting model to feature number 500, F524
## 2025-04-15 19:25:59.354474 INFO::Fitting model to feature number 501, F525
## 2025-04-15 19:25:59.357734 INFO::Fitting model to feature number 502, F526
## 2025-04-15 19:25:59.360935 INFO::Fitting model to feature number 503, F527
## 2025-04-15 19:25:59.364198 INFO::Fitting model to feature number 504, F528
## 2025-04-15 19:25:59.367453 INFO::Fitting model to feature number 505, F529
## 2025-04-15 19:25:59.370706 INFO::Fitting model to feature number 506, F530
## 2025-04-15 19:25:59.374012 INFO::Fitting model to feature number 507, F531
## 2025-04-15 19:25:59.377285 INFO::Fitting model to feature number 508, F532
## 2025-04-15 19:25:59.380487 INFO::Fitting model to feature number 509, F533
## 2025-04-15 19:25:59.383677 INFO::Fitting model to feature number 510, F534
## 2025-04-15 19:25:59.386932 INFO::Fitting model to feature number 511, F535
## 2025-04-15 19:25:59.390217 INFO::Fitting model to feature number 512, F536
## 2025-04-15 19:25:59.393492 INFO::Fitting model to feature number 513, F537
## 2025-04-15 19:25:59.396799 INFO::Fitting model to feature number 514, F539
## 2025-04-15 19:25:59.400087 INFO::Fitting model to feature number 515, F540
## 2025-04-15 19:25:59.403369 INFO::Fitting model to feature number 516, F541
## 2025-04-15 19:25:59.406605 INFO::Fitting model to feature number 517, F543
## 2025-04-15 19:25:59.409875 INFO::Fitting model to feature number 518, F544
## 2025-04-15 19:25:59.413152 INFO::Fitting model to feature number 519, F545
## 2025-04-15 19:25:59.416438 INFO::Fitting model to feature number 520, F546
## 2025-04-15 19:25:59.419727 INFO::Fitting model to feature number 521, F547
## 2025-04-15 19:25:59.42302 INFO::Fitting model to feature number 522, F548
## 2025-04-15 19:25:59.426285 INFO::Fitting model to feature number 523, F549
## 2025-04-15 19:25:59.429549 INFO::Fitting model to feature number 524, F550
## 2025-04-15 19:25:59.432826 INFO::Fitting model to feature number 525, F551
## 2025-04-15 19:25:59.436102 INFO::Fitting model to feature number 526, F552
## 2025-04-15 19:25:59.439357 INFO::Fitting model to feature number 527, F553
## 2025-04-15 19:25:59.442582 INFO::Fitting model to feature number 528, F554
## 2025-04-15 19:25:59.445838 INFO::Fitting model to feature number 529, F555
## 2025-04-15 19:25:59.449128 INFO::Fitting model to feature number 530, F556
## 2025-04-15 19:25:59.452386 INFO::Fitting model to feature number 531, F557
## 2025-04-15 19:25:59.455635 INFO::Fitting model to feature number 532, F558
## 2025-04-15 19:25:59.458907 INFO::Fitting model to feature number 533, F559
## 2025-04-15 19:25:59.462164 INFO::Fitting model to feature number 534, F560
## 2025-04-15 19:25:59.465462 INFO::Fitting model to feature number 535, F561
## 2025-04-15 19:25:59.468697 INFO::Fitting model to feature number 536, F562
## 2025-04-15 19:25:59.471979 INFO::Fitting model to feature number 537, F563
## 2025-04-15 19:25:59.475257 INFO::Fitting model to feature number 538, F564
## 2025-04-15 19:25:59.478519 INFO::Fitting model to feature number 539, F566
## 2025-04-15 19:25:59.481787 INFO::Fitting model to feature number 540, F567
## 2025-04-15 19:25:59.485056 INFO::Fitting model to feature number 541, F568
## 2025-04-15 19:25:59.488324 INFO::Fitting model to feature number 542, F569
## 2025-04-15 19:25:59.491585 INFO::Fitting model to feature number 543, F570
## 2025-04-15 19:25:59.494864 INFO::Fitting model to feature number 544, F571
## 2025-04-15 19:25:59.498147 INFO::Fitting model to feature number 545, F572
## 2025-04-15 19:25:59.501412 INFO::Fitting model to feature number 546, F573
## 2025-04-15 19:25:59.504658 INFO::Fitting model to feature number 547, F574
## 2025-04-15 19:25:59.507935 INFO::Fitting model to feature number 548, F575
## 2025-04-15 19:25:59.511131 INFO::Fitting model to feature number 549, F576
## 2025-04-15 19:25:59.51442 INFO::Fitting model to feature number 550, F577
## 2025-04-15 19:25:59.517691 INFO::Fitting model to feature number 551, F578
## 2025-04-15 19:25:59.521024 INFO::Fitting model to feature number 552, F579
## 2025-04-15 19:25:59.524366 INFO::Fitting model to feature number 553, F580
## 2025-04-15 19:25:59.527637 INFO::Fitting model to feature number 554, F581
## 2025-04-15 19:25:59.530869 INFO::Fitting model to feature number 555, F582
## 2025-04-15 19:25:59.534091 INFO::Fitting model to feature number 556, F583
## 2025-04-15 19:25:59.53736 INFO::Fitting model to feature number 557, F584
## 2025-04-15 19:25:59.540628 INFO::Fitting model to feature number 558, F585
## 2025-04-15 19:25:59.54392 INFO::Fitting model to feature number 559, F586
## 2025-04-15 19:25:59.547214 INFO::Fitting model to feature number 560, F587
## 2025-04-15 19:25:59.550513 INFO::Fitting model to feature number 561, F588
## 2025-04-15 19:25:59.55381 INFO::Fitting model to feature number 562, F589
## 2025-04-15 19:25:59.557106 INFO::Fitting model to feature number 563, F590
## 2025-04-15 19:25:59.560397 INFO::Fitting model to feature number 564, F591
## 2025-04-15 19:25:59.563698 INFO::Fitting model to feature number 565, F592
## 2025-04-15 19:25:59.567004 INFO::Fitting model to feature number 566, F593
## 2025-04-15 19:25:59.570288 INFO::Fitting model to feature number 567, F594
## 2025-04-15 19:25:59.573575 INFO::Fitting model to feature number 568, F595
## 2025-04-15 19:25:59.576871 INFO::Fitting model to feature number 569, F596
## 2025-04-15 19:25:59.580171 INFO::Fitting model to feature number 570, F597
## 2025-04-15 19:25:59.583478 INFO::Fitting model to feature number 571, F598
## 2025-04-15 19:25:59.586779 INFO::Fitting model to feature number 572, F599
## 2025-04-15 19:25:59.590142 INFO::Fitting model to feature number 573, F600
## 2025-04-15 19:25:59.593448 INFO::Fitting model to feature number 574, F601
## 2025-04-15 19:25:59.596677 INFO::Fitting model to feature number 575, F602
## 2025-04-15 19:25:59.599987 INFO::Fitting model to feature number 576, F603
## 2025-04-15 19:25:59.60326 INFO::Fitting model to feature number 577, F605
## 2025-04-15 19:25:59.606518 INFO::Fitting model to feature number 578, F606
## 2025-04-15 19:25:59.609772 INFO::Fitting model to feature number 579, F607
## 2025-04-15 19:25:59.61304 INFO::Fitting model to feature number 580, F608
## 2025-04-15 19:25:59.616297 INFO::Fitting model to feature number 581, F609
## 2025-04-15 19:25:59.61958 INFO::Fitting model to feature number 582, F610
## 2025-04-15 19:25:59.622833 INFO::Fitting model to feature number 583, F611
## 2025-04-15 19:25:59.626128 INFO::Fitting model to feature number 584, F612
## 2025-04-15 19:25:59.629381 INFO::Fitting model to feature number 585, F613
## 2025-04-15 19:25:59.632658 INFO::Fitting model to feature number 586, F614
## 2025-04-15 19:25:59.635946 INFO::Fitting model to feature number 587, F615
## 2025-04-15 19:25:59.639169 INFO::Fitting model to feature number 588, F616
## 2025-04-15 19:25:59.642454 INFO::Fitting model to feature number 589, F617
## 2025-04-15 19:25:59.6457 INFO::Fitting model to feature number 590, F618
## 2025-04-15 19:25:59.648946 INFO::Fitting model to feature number 591, F619
## 2025-04-15 19:25:59.652179 INFO::Fitting model to feature number 592, F620
## 2025-04-15 19:25:59.655423 INFO::Fitting model to feature number 593, F621
## 2025-04-15 19:25:59.658717 INFO::Fitting model to feature number 594, F622
## 2025-04-15 19:25:59.662048 INFO::Fitting model to feature number 595, F623
## 2025-04-15 19:25:59.665324 INFO::Fitting model to feature number 596, F624
## 2025-04-15 19:25:59.668609 INFO::Fitting model to feature number 597, F625
## 2025-04-15 19:25:59.671871 INFO::Fitting model to feature number 598, F626
## 2025-04-15 19:25:59.675146 INFO::Fitting model to feature number 599, F627
## 2025-04-15 19:25:59.678396 INFO::Fitting model to feature number 600, F628
## 2025-04-15 19:25:59.681652 INFO::Fitting model to feature number 601, F629
## 2025-04-15 19:25:59.684939 INFO::Fitting model to feature number 602, F630
## 2025-04-15 19:25:59.68817 INFO::Fitting model to feature number 603, F631
## 2025-04-15 19:25:59.69136 INFO::Fitting model to feature number 604, F632
## 2025-04-15 19:25:59.694621 INFO::Fitting model to feature number 605, F633
## 2025-04-15 19:25:59.697897 INFO::Fitting model to feature number 606, F634
## 2025-04-15 19:25:59.701219 INFO::Fitting model to feature number 607, F635
## 2025-04-15 19:25:59.70449 INFO::Fitting model to feature number 608, F636
## 2025-04-15 19:25:59.707758 INFO::Fitting model to feature number 609, F637
## 2025-04-15 19:25:59.711087 INFO::Fitting model to feature number 610, F638
## 2025-04-15 19:25:59.714418 INFO::Fitting model to feature number 611, F639
## 2025-04-15 19:25:59.717782 INFO::Fitting model to feature number 612, F640
## 2025-04-15 19:25:59.721126 INFO::Fitting model to feature number 613, F641
## 2025-04-15 19:25:59.724411 INFO::Fitting model to feature number 614, F642
## 2025-04-15 19:25:59.727783 INFO::Fitting model to feature number 615, F643
## 2025-04-15 19:25:59.731195 INFO::Fitting model to feature number 616, F644
## 2025-04-15 19:25:59.734526 INFO::Fitting model to feature number 617, F645
## 2025-04-15 19:25:59.737861 INFO::Fitting model to feature number 618, F646
## 2025-04-15 19:25:59.741205 INFO::Fitting model to feature number 619, F647
## 2025-04-15 19:25:59.744522 INFO::Fitting model to feature number 620, F648
## 2025-04-15 19:25:59.747844 INFO::Fitting model to feature number 621, F649
## 2025-04-15 19:25:59.75118 INFO::Fitting model to feature number 622, F650
## 2025-04-15 19:25:59.75453 INFO::Fitting model to feature number 623, F651
## 2025-04-15 19:25:59.757866 INFO::Fitting model to feature number 624, F652
## 2025-04-15 19:25:59.761173 INFO::Fitting model to feature number 625, F653
## 2025-04-15 19:25:59.76449 INFO::Fitting model to feature number 626, F654
## 2025-04-15 19:25:59.767814 INFO::Fitting model to feature number 627, F655
## 2025-04-15 19:25:59.771146 INFO::Fitting model to feature number 628, F656
## 2025-04-15 19:25:59.774477 INFO::Fitting model to feature number 629, F657
## 2025-04-15 19:25:59.777804 INFO::Fitting model to feature number 630, F658
## 2025-04-15 19:25:59.781135 INFO::Fitting model to feature number 631, F659
## 2025-04-15 19:25:59.784481 INFO::Fitting model to feature number 632, F660
## 2025-04-15 19:25:59.787922 INFO::Fitting model to feature number 633, F661
## 2025-04-15 19:25:59.791268 INFO::Fitting model to feature number 634, F662
## 2025-04-15 19:25:59.794648 INFO::Fitting model to feature number 635, F663
## 2025-04-15 19:25:59.797996 INFO::Fitting model to feature number 636, F664
## 2025-04-15 19:25:59.801347 INFO::Fitting model to feature number 637, F665
## 2025-04-15 19:25:59.804697 INFO::Fitting model to feature number 638, F666
## 2025-04-15 19:25:59.808006 INFO::Fitting model to feature number 639, F667
## 2025-04-15 19:25:59.811409 INFO::Fitting model to feature number 640, F668
## 2025-04-15 19:25:59.814788 INFO::Fitting model to feature number 641, F669
## 2025-04-15 19:25:59.818163 INFO::Fitting model to feature number 642, F670
## 2025-04-15 19:25:59.821531 INFO::Fitting model to feature number 643, F671
## 2025-04-15 19:25:59.824842 INFO::Fitting model to feature number 644, F672
## 2025-04-15 19:25:59.828197 INFO::Fitting model to feature number 645, F673
## 2025-04-15 19:25:59.831542 INFO::Fitting model to feature number 646, F674
## 2025-04-15 19:25:59.834909 INFO::Fitting model to feature number 647, F675
## 2025-04-15 19:25:59.838286 INFO::Fitting model to feature number 648, F676
## 2025-04-15 19:25:59.841634 INFO::Fitting model to feature number 649, F677
## 2025-04-15 19:25:59.845019 INFO::Fitting model to feature number 650, F678
## 2025-04-15 19:25:59.848311 INFO::Fitting model to feature number 651, F679
## 2025-04-15 19:25:59.851672 INFO::Fitting model to feature number 652, F680
## 2025-04-15 19:25:59.855055 INFO::Fitting model to feature number 653, F681
## 2025-04-15 19:25:59.858409 INFO::Fitting model to feature number 654, F682
## 2025-04-15 19:25:59.861763 INFO::Fitting model to feature number 655, F683
## 2025-04-15 19:25:59.865147 INFO::Fitting model to feature number 656, F684
## 2025-04-15 19:25:59.868513 INFO::Fitting model to feature number 657, F685
## 2025-04-15 19:25:59.871918 INFO::Fitting model to feature number 658, F686
## 2025-04-15 19:25:59.875293 INFO::Fitting model to feature number 659, F687
## 2025-04-15 19:25:59.878663 INFO::Fitting model to feature number 660, F688
## 2025-04-15 19:25:59.882031 INFO::Fitting model to feature number 661, F689
## 2025-04-15 19:25:59.885403 INFO::Fitting model to feature number 662, F690
## 2025-04-15 19:25:59.888778 INFO::Fitting model to feature number 663, F691
## 2025-04-15 19:25:59.892167 INFO::Fitting model to feature number 664, F692
## 2025-04-15 19:25:59.895559 INFO::Fitting model to feature number 665, F693
## 2025-04-15 19:25:59.89893 INFO::Fitting model to feature number 666, F694
## 2025-04-15 19:25:59.902294 INFO::Fitting model to feature number 667, F695
## 2025-04-15 19:25:59.905654 INFO::Fitting model to feature number 668, F696
## 2025-04-15 19:25:59.909037 INFO::Fitting model to feature number 669, F697
## 2025-04-15 19:25:59.912408 INFO::Fitting model to feature number 670, F698
## 2025-04-15 19:25:59.91573 INFO::Fitting model to feature number 671, F699
## 2025-04-15 19:25:59.919109 INFO::Fitting model to feature number 672, F700
## 2025-04-15 19:25:59.922464 INFO::Fitting model to feature number 673, F701
## 2025-04-15 19:25:59.925796 INFO::Fitting model to feature number 674, F702
## 2025-04-15 19:25:59.929128 INFO::Fitting model to feature number 675, F704
## 2025-04-15 19:25:59.932456 INFO::Fitting model to feature number 676, F705
## 2025-04-15 19:25:59.935723 INFO::Fitting model to feature number 677, F706
## 2025-04-15 19:25:59.939048 INFO::Fitting model to feature number 678, F707
## 2025-04-15 19:25:59.942399 INFO::Fitting model to feature number 679, F708
## 2025-04-15 19:25:59.945723 INFO::Fitting model to feature number 680, F709
## 2025-04-15 19:25:59.948987 INFO::Fitting model to feature number 681, F710
## 2025-04-15 19:25:59.952328 INFO::Fitting model to feature number 682, F711
## 2025-04-15 19:25:59.955654 INFO::Fitting model to feature number 683, F712
## 2025-04-15 19:25:59.959002 INFO::Fitting model to feature number 684, F713
## 2025-04-15 19:25:59.962347 INFO::Fitting model to feature number 685, F714
## 2025-04-15 19:25:59.965686 INFO::Fitting model to feature number 686, F715
## 2025-04-15 19:25:59.969051 INFO::Fitting model to feature number 687, F716
## 2025-04-15 19:25:59.972361 INFO::Fitting model to feature number 688, F717
## 2025-04-15 19:25:59.97568 INFO::Fitting model to feature number 689, F718
## 2025-04-15 19:25:59.97901 INFO::Fitting model to feature number 690, F719
## 2025-04-15 19:25:59.982349 INFO::Fitting model to feature number 691, F720
## 2025-04-15 19:25:59.985664 INFO::Fitting model to feature number 692, F721
## 2025-04-15 19:25:59.988985 INFO::Fitting model to feature number 693, F722
## 2025-04-15 19:25:59.992332 INFO::Fitting model to feature number 694, F723
## 2025-04-15 19:25:59.995671 INFO::Fitting model to feature number 695, F724
## 2025-04-15 19:25:59.999025 INFO::Fitting model to feature number 696, F725
## 2025-04-15 19:26:00.002346 INFO::Fitting model to feature number 697, F726
## 2025-04-15 19:26:00.005698 INFO::Fitting model to feature number 698, F727
## 2025-04-15 19:26:00.009072 INFO::Fitting model to feature number 699, F728
## 2025-04-15 19:26:00.012427 INFO::Fitting model to feature number 700, F729
## 2025-04-15 19:26:00.015823 INFO::Fitting model to feature number 701, F730
## 2025-04-15 19:26:00.019203 INFO::Fitting model to feature number 702, F731
## 2025-04-15 19:26:00.022547 INFO::Fitting model to feature number 703, F732
## 2025-04-15 19:26:00.025917 INFO::Fitting model to feature number 704, F733
## 2025-04-15 19:26:00.029259 INFO::Fitting model to feature number 705, F734
## 2025-04-15 19:26:00.032598 INFO::Fitting model to feature number 706, F735
## 2025-04-15 19:26:00.03588 INFO::Fitting model to feature number 707, F736
## 2025-04-15 19:26:00.039193 INFO::Fitting model to feature number 708, F737
## 2025-04-15 19:26:00.04257 INFO::Fitting model to feature number 709, F739
## 2025-04-15 19:26:00.045952 INFO::Fitting model to feature number 710, F740
## 2025-04-15 19:26:00.0493 INFO::Fitting model to feature number 711, F741
## 2025-04-15 19:26:00.05264 INFO::Fitting model to feature number 712, F742
## 2025-04-15 19:26:00.056005 INFO::Fitting model to feature number 713, F743
## 2025-04-15 19:26:00.059346 INFO::Fitting model to feature number 714, F744
## 2025-04-15 19:26:00.062682 INFO::Fitting model to feature number 715, F745
## 2025-04-15 19:26:00.065968 INFO::Fitting model to feature number 716, F746
## 2025-04-15 19:26:00.069283 INFO::Fitting model to feature number 717, F747
## 2025-04-15 19:26:00.072607 INFO::Fitting model to feature number 718, F748
## 2025-04-15 19:26:00.075957 INFO::Fitting model to feature number 719, F749
## 2025-04-15 19:26:00.079203 INFO::Fitting model to feature number 720, F750
## 2025-04-15 19:26:00.08252 INFO::Fitting model to feature number 721, F751
## 2025-04-15 19:26:00.085845 INFO::Fitting model to feature number 722, F752
## 2025-04-15 19:26:00.089175 INFO::Fitting model to feature number 723, F753
## 2025-04-15 19:26:00.092488 INFO::Fitting model to feature number 724, F754
## 2025-04-15 19:26:00.095801 INFO::Fitting model to feature number 725, F755
## 2025-04-15 19:26:00.099162 INFO::Fitting model to feature number 726, F756
## 2025-04-15 19:26:00.102499 INFO::Fitting model to feature number 727, F757
## 2025-04-15 19:26:00.105837 INFO::Fitting model to feature number 728, F758
## 2025-04-15 19:26:00.109174 INFO::Fitting model to feature number 729, F759
## 2025-04-15 19:26:00.112497 INFO::Fitting model to feature number 730, F760
## 2025-04-15 19:26:00.115826 INFO::Fitting model to feature number 731, F761
## 2025-04-15 19:26:00.119159 INFO::Fitting model to feature number 732, F762
## 2025-04-15 19:26:00.122497 INFO::Fitting model to feature number 733, F763
## 2025-04-15 19:26:00.125834 INFO::Fitting model to feature number 734, F764
## 2025-04-15 19:26:00.12917 INFO::Fitting model to feature number 735, F765
## 2025-04-15 19:26:00.132494 INFO::Fitting model to feature number 736, F766
## 2025-04-15 19:26:00.135839 INFO::Fitting model to feature number 737, F767
## 2025-04-15 19:26:00.139171 INFO::Fitting model to feature number 738, F768
## 2025-04-15 19:26:00.142523 INFO::Fitting model to feature number 739, F769
## 2025-04-15 19:26:00.145858 INFO::Fitting model to feature number 740, F770
## 2025-04-15 19:26:00.149202 INFO::Fitting model to feature number 741, F771
## 2025-04-15 19:26:00.152536 INFO::Fitting model to feature number 742, F772
## 2025-04-15 19:26:00.155886 INFO::Fitting model to feature number 743, F773
## 2025-04-15 19:26:00.159206 INFO::Fitting model to feature number 744, F774
## 2025-04-15 19:26:00.16252 INFO::Fitting model to feature number 745, F775
## 2025-04-15 19:26:00.165823 INFO::Fitting model to feature number 746, F776
## 2025-04-15 19:26:00.169165 INFO::Fitting model to feature number 747, F777
## 2025-04-15 19:26:00.172498 INFO::Fitting model to feature number 748, F778
## 2025-04-15 19:26:00.17582 INFO::Fitting model to feature number 749, F779
## 2025-04-15 19:26:00.179158 INFO::Fitting model to feature number 750, F780
## 2025-04-15 19:26:00.200446 INFO::Fitting model to feature number 751, F781
## 2025-04-15 19:26:00.205706 INFO::Fitting model to feature number 752, F782
## 2025-04-15 19:26:00.209234 INFO::Fitting model to feature number 753, F783
## 2025-04-15 19:26:00.212655 INFO::Fitting model to feature number 754, F784
## 2025-04-15 19:26:00.216029 INFO::Fitting model to feature number 755, F785
## 2025-04-15 19:26:00.219362 INFO::Fitting model to feature number 756, F786
## 2025-04-15 19:26:00.222692 INFO::Fitting model to feature number 757, F787
## 2025-04-15 19:26:00.226025 INFO::Fitting model to feature number 758, F788
## 2025-04-15 19:26:00.229267 INFO::Fitting model to feature number 759, F789
## 2025-04-15 19:26:00.23257 INFO::Fitting model to feature number 760, F790
## 2025-04-15 19:26:00.235867 INFO::Fitting model to feature number 761, F791
## 2025-04-15 19:26:00.23915 INFO::Fitting model to feature number 762, F792
## 2025-04-15 19:26:00.242456 INFO::Fitting model to feature number 763, F793
## 2025-04-15 19:26:00.245755 INFO::Fitting model to feature number 764, F794
## 2025-04-15 19:26:00.249059 INFO::Fitting model to feature number 765, F795
## 2025-04-15 19:26:00.252348 INFO::Fitting model to feature number 766, F796
## 2025-04-15 19:26:00.255631 INFO::Fitting model to feature number 767, F797
## 2025-04-15 19:26:00.258894 INFO::Fitting model to feature number 768, F798
## 2025-04-15 19:26:00.262168 INFO::Fitting model to feature number 769, F799
## 2025-04-15 19:26:00.265362 INFO::Fitting model to feature number 770, F800
## 2025-04-15 19:26:00.268643 INFO::Fitting model to feature number 771, F801
## 2025-04-15 19:26:00.271936 INFO::Fitting model to feature number 772, F802
## 2025-04-15 19:26:00.275207 INFO::Fitting model to feature number 773, F803
## 2025-04-15 19:26:00.278486 INFO::Fitting model to feature number 774, F804
## 2025-04-15 19:26:00.281766 INFO::Fitting model to feature number 775, F805
## 2025-04-15 19:26:00.285031 INFO::Fitting model to feature number 776, F806
## 2025-04-15 19:26:00.288285 INFO::Fitting model to feature number 777, F808
## 2025-04-15 19:26:00.29155 INFO::Fitting model to feature number 778, F809
## 2025-04-15 19:26:00.294823 INFO::Fitting model to feature number 779, F810
## 2025-04-15 19:26:00.298113 INFO::Fitting model to feature number 780, F811
## 2025-04-15 19:26:00.301404 INFO::Fitting model to feature number 781, F812
## 2025-04-15 19:26:00.304709 INFO::Fitting model to feature number 782, F813
## 2025-04-15 19:26:00.308033 INFO::Fitting model to feature number 783, F814
## 2025-04-15 19:26:00.311327 INFO::Fitting model to feature number 784, F815
## 2025-04-15 19:26:00.314637 INFO::Fitting model to feature number 785, F816
## 2025-04-15 19:26:00.317957 INFO::Fitting model to feature number 786, F817
## 2025-04-15 19:26:00.321253 INFO::Fitting model to feature number 787, F818
## 2025-04-15 19:26:00.324555 INFO::Fitting model to feature number 788, F819
## 2025-04-15 19:26:00.327847 INFO::Fitting model to feature number 789, F820
## 2025-04-15 19:26:00.331151 INFO::Fitting model to feature number 790, F821
## 2025-04-15 19:26:00.334441 INFO::Fitting model to feature number 791, F822
## 2025-04-15 19:26:00.337698 INFO::Fitting model to feature number 792, F823
## 2025-04-15 19:26:00.34098 INFO::Fitting model to feature number 793, F824
## 2025-04-15 19:26:00.34426 INFO::Fitting model to feature number 794, F825
## 2025-04-15 19:26:00.347519 INFO::Fitting model to feature number 795, F826
## 2025-04-15 19:26:00.350785 INFO::Fitting model to feature number 796, F827
## 2025-04-15 19:26:00.354053 INFO::Fitting model to feature number 797, F828
## 2025-04-15 19:26:00.357322 INFO::Fitting model to feature number 798, F829
## 2025-04-15 19:26:00.360574 INFO::Fitting model to feature number 799, F830
## 2025-04-15 19:26:00.363852 INFO::Fitting model to feature number 800, F831
## 2025-04-15 19:26:00.367146 INFO::Fitting model to feature number 801, F832
## 2025-04-15 19:26:00.3704 INFO::Fitting model to feature number 802, F833
## 2025-04-15 19:26:00.37367 INFO::Fitting model to feature number 803, F834
## 2025-04-15 19:26:00.376953 INFO::Fitting model to feature number 804, F835
## 2025-04-15 19:26:00.380215 INFO::Fitting model to feature number 805, F836
## 2025-04-15 19:26:00.383478 INFO::Fitting model to feature number 806, F837
## 2025-04-15 19:26:00.386778 INFO::Fitting model to feature number 807, F838
## 2025-04-15 19:26:00.39008 INFO::Fitting model to feature number 808, F839
## 2025-04-15 19:26:00.393368 INFO::Fitting model to feature number 809, F840
## 2025-04-15 19:26:00.39664 INFO::Fitting model to feature number 810, F841
## 2025-04-15 19:26:00.399926 INFO::Fitting model to feature number 811, F842
## 2025-04-15 19:26:00.403215 INFO::Fitting model to feature number 812, F843
## 2025-04-15 19:26:00.406512 INFO::Fitting model to feature number 813, F844
## 2025-04-15 19:26:00.409729 INFO::Fitting model to feature number 814, F845
## 2025-04-15 19:26:00.412934 INFO::Fitting model to feature number 815, F846
## 2025-04-15 19:26:00.416194 INFO::Fitting model to feature number 816, F847
## 2025-04-15 19:26:00.419483 INFO::Fitting model to feature number 817, F848
## 2025-04-15 19:26:00.422747 INFO::Fitting model to feature number 818, F849
## 2025-04-15 19:26:00.426031 INFO::Fitting model to feature number 819, F850
## 2025-04-15 19:26:00.42933 INFO::Fitting model to feature number 820, F851
## 2025-04-15 19:26:00.432629 INFO::Fitting model to feature number 821, F852
## 2025-04-15 19:26:00.43595 INFO::Fitting model to feature number 822, F853
## 2025-04-15 19:26:00.439225 INFO::Fitting model to feature number 823, F854
## 2025-04-15 19:26:00.4425 INFO::Fitting model to feature number 824, F855
## 2025-04-15 19:26:00.445768 INFO::Fitting model to feature number 825, F856
## 2025-04-15 19:26:00.44904 INFO::Fitting model to feature number 826, F857
## 2025-04-15 19:26:00.452296 INFO::Fitting model to feature number 827, F858
## 2025-04-15 19:26:00.455546 INFO::Fitting model to feature number 828, F859
## 2025-04-15 19:26:00.458803 INFO::Fitting model to feature number 829, F860
## 2025-04-15 19:26:00.462052 INFO::Fitting model to feature number 830, F861
## 2025-04-15 19:26:00.465307 INFO::Fitting model to feature number 831, F862
## 2025-04-15 19:26:00.468568 INFO::Fitting model to feature number 832, F863
## 2025-04-15 19:26:00.47183 INFO::Fitting model to feature number 833, F864
## 2025-04-15 19:26:00.475122 INFO::Fitting model to feature number 834, F865
## 2025-04-15 19:26:00.478424 INFO::Fitting model to feature number 835, F866
## 2025-04-15 19:26:00.481742 INFO::Fitting model to feature number 836, F867
## 2025-04-15 19:26:00.485027 INFO::Fitting model to feature number 837, F868
## 2025-04-15 19:26:00.488312 INFO::Fitting model to feature number 838, F869
## 2025-04-15 19:26:00.491637 INFO::Fitting model to feature number 839, F870
## 2025-04-15 19:26:00.494915 INFO::Fitting model to feature number 840, F871
## 2025-04-15 19:26:00.498195 INFO::Fitting model to feature number 841, F872
## 2025-04-15 19:26:00.50148 INFO::Fitting model to feature number 842, F873
## 2025-04-15 19:26:00.504757 INFO::Fitting model to feature number 843, F874
## 2025-04-15 19:26:00.508039 INFO::Fitting model to feature number 844, F875
## 2025-04-15 19:26:00.511297 INFO::Fitting model to feature number 845, F876
## 2025-04-15 19:26:00.514575 INFO::Fitting model to feature number 846, F877
## 2025-04-15 19:26:00.517868 INFO::Fitting model to feature number 847, F878
## 2025-04-15 19:26:00.521185 INFO::Fitting model to feature number 848, F879
## 2025-04-15 19:26:00.524472 INFO::Fitting model to feature number 849, F880
## 2025-04-15 19:26:00.527765 INFO::Fitting model to feature number 850, F881
## 2025-04-15 19:26:00.531072 INFO::Fitting model to feature number 851, F882
## 2025-04-15 19:26:00.53436 INFO::Fitting model to feature number 852, F883
## 2025-04-15 19:26:00.537633 INFO::Fitting model to feature number 853, F884
## 2025-04-15 19:26:00.540935 INFO::Fitting model to feature number 854, F885
## 2025-04-15 19:26:00.544237 INFO::Fitting model to feature number 855, F886
## 2025-04-15 19:26:00.547508 INFO::Fitting model to feature number 856, F887
## 2025-04-15 19:26:00.550771 INFO::Fitting model to feature number 857, F888
## 2025-04-15 19:26:00.55404 INFO::Fitting model to feature number 858, F889
## 2025-04-15 19:26:00.557293 INFO::Fitting model to feature number 859, F890
## 2025-04-15 19:26:00.560552 INFO::Fitting model to feature number 860, F891
## 2025-04-15 19:26:00.563808 INFO::Fitting model to feature number 861, F892
## 2025-04-15 19:26:00.567025 INFO::Fitting model to feature number 862, F893
## 2025-04-15 19:26:00.570279 INFO::Fitting model to feature number 863, F894
## 2025-04-15 19:26:00.573535 INFO::Fitting model to feature number 864, F895
## 2025-04-15 19:26:00.576794 INFO::Fitting model to feature number 865, F896
## 2025-04-15 19:26:00.580051 INFO::Fitting model to feature number 866, F897
## 2025-04-15 19:26:00.583302 INFO::Fitting model to feature number 867, F898
## 2025-04-15 19:26:00.586555 INFO::Fitting model to feature number 868, F899
## 2025-04-15 19:26:00.589811 INFO::Fitting model to feature number 869, F900
## 2025-04-15 19:26:00.748344 INFO::Counting total values for each feature
## 2025-04-15 19:26:00.867944 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2025-04-15 19:26:00.976893 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2025-04-15 19:26:01.084197 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2025-04-15 19:26:01.195493 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2025-04-15 19:26:01.23723 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2025-04-15 19:26:01.272738 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2025-04-15 19:26:01.287926 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 19:26:01.294833 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2025-04-15 19:26:01.311958 INFO::Plotting associations from most to least significant, grouped by metadata
## 2025-04-15 19:26:01.313016 INFO::Plotting data for metadata number 1, diagnosis
## 2025-04-15 19:26:01.356419 INFO::Creating boxplot for categorical data, diagnosis vs F504

## 2025-04-15 19:26:01.682241 INFO::Creating boxplot for categorical data, diagnosis vs F859

## 2025-04-15 19:26:01.869387 INFO::Creating boxplot for categorical data, diagnosis vs F533

## 2025-04-15 19:26:02.044428 INFO::Creating boxplot for categorical data, diagnosis vs F587

## 2025-04-15 19:26:02.223266 INFO::Creating boxplot for categorical data, diagnosis vs F584

## 2025-04-15 19:26:02.434029 INFO::Creating boxplot for categorical data, diagnosis vs F197

## 2025-04-15 19:26:02.604019 INFO::Creating boxplot for categorical data, diagnosis vs F380

## 2025-04-15 19:26:02.774194 INFO::Creating boxplot for categorical data, diagnosis vs F829

## 2025-04-15 19:26:02.948584 INFO::Creating boxplot for categorical data, diagnosis vs F664

## 2025-04-15 19:26:03.122486 INFO::Creating boxplot for categorical data, diagnosis vs F93

## 2025-04-15 19:26:03.311225 INFO::Creating boxplot for categorical data, diagnosis vs F15

## 2025-04-15 19:26:03.485622 INFO::Creating boxplot for categorical data, diagnosis vs F881

## 2025-04-15 19:26:03.676728 INFO::Creating boxplot for categorical data, diagnosis vs F806

## 2025-04-15 19:26:03.865999 INFO::Creating boxplot for categorical data, diagnosis vs F78

## 2025-04-15 19:26:04.047875 INFO::Creating boxplot for categorical data, diagnosis vs F189

## 2025-04-15 19:26:04.241785 INFO::Creating boxplot for categorical data, diagnosis vs F369

## 2025-04-15 19:26:04.412676 INFO::Creating boxplot for categorical data, diagnosis vs F623

## 2025-04-15 19:26:04.588654 INFO::Creating boxplot for categorical data, diagnosis vs F710

## 2025-04-15 19:26:04.762015 INFO::Creating boxplot for categorical data, diagnosis vs F851

## 2025-04-15 19:26:04.943151 INFO::Creating boxplot for categorical data, diagnosis vs F257

## 2025-04-15 19:26:05.130669 INFO::Creating boxplot for categorical data, diagnosis vs F330

## 2025-04-15 19:26:05.300289 INFO::Creating boxplot for categorical data, diagnosis vs F344

## 2025-04-15 19:26:05.474041 INFO::Creating boxplot for categorical data, diagnosis vs F696

## 2025-04-15 19:26:05.647686 INFO::Creating boxplot for categorical data, diagnosis vs F741

## 2025-04-15 19:26:05.822878 INFO::Creating boxplot for categorical data, diagnosis vs F509

## 2025-04-15 19:26:06.006626 INFO::Creating boxplot for categorical data, diagnosis vs F479

## 2025-04-15 19:26:06.176788 INFO::Creating boxplot for categorical data, diagnosis vs F550

## 2025-04-15 19:26:06.349243 INFO::Creating boxplot for categorical data, diagnosis vs F640

## 2025-04-15 19:26:06.534818 INFO::Creating boxplot for categorical data, diagnosis vs F281

## 2025-04-15 19:26:06.720026 INFO::Creating boxplot for categorical data, diagnosis vs F80

## 2025-04-15 19:26:06.929039 INFO::Creating boxplot for categorical data, diagnosis vs F285

## 2025-04-15 19:26:07.125509 INFO::Creating boxplot for categorical data, diagnosis vs F531

## 2025-04-15 19:26:07.307868 INFO::Creating boxplot for categorical data, diagnosis vs F737

## 2025-04-15 19:26:07.494813 INFO::Creating boxplot for categorical data, diagnosis vs F875

## 2025-04-15 19:26:07.676018 INFO::Creating boxplot for categorical data, diagnosis vs F864

## 2025-04-15 19:26:07.864208 INFO::Creating boxplot for categorical data, diagnosis vs F379

## 2025-04-15 19:26:08.035487 INFO::Creating boxplot for categorical data, diagnosis vs F190

## 2025-04-15 19:26:08.20844 INFO::Creating boxplot for categorical data, diagnosis vs F4

## 2025-04-15 19:26:08.387695 INFO::Creating boxplot for categorical data, diagnosis vs F591

## 2025-04-15 19:26:08.568276 INFO::Creating boxplot for categorical data, diagnosis vs F773

## 2025-04-15 19:26:08.747343 INFO::Creating boxplot for categorical data, diagnosis vs F283

## 2025-04-15 19:26:08.920015 INFO::Creating boxplot for categorical data, diagnosis vs F233

## 2025-04-15 19:26:09.094626 INFO::Creating boxplot for categorical data, diagnosis vs F420

## 2025-04-15 19:26:09.269753 INFO::Creating boxplot for categorical data, diagnosis vs F5

## 2025-04-15 19:26:09.480165 INFO::Creating boxplot for categorical data, diagnosis vs F137

## 2025-04-15 19:26:09.650433 INFO::Creating boxplot for categorical data, diagnosis vs F215

## 2025-04-15 19:26:09.819243 INFO::Creating boxplot for categorical data, diagnosis vs F489

## 2025-04-15 19:26:09.999167 INFO::Creating boxplot for categorical data, diagnosis vs F220

## 2025-04-15 19:26:10.192732 INFO::Creating boxplot for categorical data, diagnosis vs F691

## 2025-04-15 19:26:10.380854 INFO::Creating boxplot for categorical data, diagnosis vs F381

## 2025-04-15 19:26:10.551869 INFO::Creating boxplot for categorical data, diagnosis vs F539

## 2025-04-15 19:26:10.720552 INFO::Creating boxplot for categorical data, diagnosis vs F490

## 2025-04-15 19:26:10.893039 INFO::Creating boxplot for categorical data, diagnosis vs F832

## 2025-04-15 19:26:11.069758 INFO::Creating boxplot for categorical data, diagnosis vs F396

## 2025-04-15 19:26:11.25355 INFO::Creating boxplot for categorical data, diagnosis vs F528

## 2025-04-15 19:26:11.421947 INFO::Creating boxplot for categorical data, diagnosis vs F234

## 2025-04-15 19:26:11.593061 INFO::Creating boxplot for categorical data, diagnosis vs F178

## 2025-04-15 19:26:11.769027 INFO::Creating boxplot for categorical data, diagnosis vs F761

## 2025-04-15 19:26:11.947253 INFO::Creating boxplot for categorical data, diagnosis vs F2

## 2025-04-15 19:26:12.134501 INFO::Creating boxplot for categorical data, diagnosis vs F260

## 2025-04-15 19:26:12.310421 INFO::Creating boxplot for categorical data, diagnosis vs F734

## 2025-04-15 19:26:12.488974 INFO::Creating boxplot for categorical data, diagnosis vs F429

## 2025-04-15 19:26:12.66688 INFO::Creating boxplot for categorical data, diagnosis vs F630

## 2025-04-15 19:26:12.849044 INFO::Creating boxplot for categorical data, diagnosis vs F817

## 2025-04-15 19:26:13.037919 INFO::Creating boxplot for categorical data, diagnosis vs F847

## 2025-04-15 19:26:13.21125 INFO::Creating boxplot for categorical data, diagnosis vs F896

## 2025-04-15 19:26:13.384154 INFO::Creating boxplot for categorical data, diagnosis vs F81

## 2025-04-15 19:26:13.559908 INFO::Creating boxplot for categorical data, diagnosis vs F110

## 2025-04-15 19:26:13.745238 INFO::Creating boxplot for categorical data, diagnosis vs F3

## 2025-04-15 19:26:13.915734 INFO::Creating boxplot for categorical data, diagnosis vs F33

## 2025-04-15 19:26:14.089716 INFO::Creating boxplot for categorical data, diagnosis vs F270

## 2025-04-15 19:26:14.268401 INFO::Creating boxplot for categorical data, diagnosis vs F278

## 2025-04-15 19:26:14.44702 INFO::Creating boxplot for categorical data, diagnosis vs F264

## 2025-04-15 19:26:14.637136 INFO::Creating boxplot for categorical data, diagnosis vs F90

## 2025-04-15 19:26:14.809208 INFO::Creating boxplot for categorical data, diagnosis vs F403

## 2025-04-15 19:26:14.984964 INFO::Creating boxplot for categorical data, diagnosis vs F727

## 2025-04-15 19:26:15.160892 INFO::Creating boxplot for categorical data, diagnosis vs F394

## 2025-04-15 19:26:15.336879 INFO::Creating boxplot for categorical data, diagnosis vs F800

## 2025-04-15 19:26:15.52089 INFO::Creating boxplot for categorical data, diagnosis vs F439

## 2025-04-15 19:26:15.702461 INFO::Creating boxplot for categorical data, diagnosis vs F554

## 2025-04-15 19:26:15.887943 INFO::Creating boxplot for categorical data, diagnosis vs F559

## 2025-04-15 19:26:16.06393 INFO::Creating boxplot for categorical data, diagnosis vs F548

## 2025-04-15 19:26:16.241809 INFO::Creating boxplot for categorical data, diagnosis vs F794

## 2025-04-15 19:26:16.429041 INFO::Creating boxplot for categorical data, diagnosis vs F45

## 2025-04-15 19:26:16.599854 INFO::Creating boxplot for categorical data, diagnosis vs F158

## 2025-04-15 19:26:16.773786 INFO::Creating boxplot for categorical data, diagnosis vs F477

## 2025-04-15 19:26:16.950444 INFO::Creating boxplot for categorical data, diagnosis vs F1

## 2025-04-15 19:26:17.134552 INFO::Creating boxplot for categorical data, diagnosis vs F862

## 2025-04-15 19:26:17.307605 INFO::Creating boxplot for categorical data, diagnosis vs F803

## 2025-04-15 19:26:17.48163 INFO::Creating boxplot for categorical data, diagnosis vs F751

## 2025-04-15 19:26:17.666211 INFO::Creating boxplot for categorical data, diagnosis vs F98

## 2025-04-15 19:26:17.843279 INFO::Creating boxplot for categorical data, diagnosis vs F22

## 2025-04-15 19:26:18.026601 INFO::Creating boxplot for categorical data, diagnosis vs F625

## 2025-04-15 19:26:18.195393 INFO::Creating boxplot for categorical data, diagnosis vs F206

## 2025-04-15 19:26:18.36551 INFO::Creating boxplot for categorical data, diagnosis vs F779

## 2025-04-15 19:26:18.54354 INFO::Creating boxplot for categorical data, diagnosis vs F532

## 2025-04-15 19:26:18.725142 INFO::Creating boxplot for categorical data, diagnosis vs F676

## 2025-04-15 19:26:18.915175 INFO::Creating boxplot for categorical data, diagnosis vs F644

## 2025-04-15 19:26:19.111282 INFO::Creating boxplot for categorical data, diagnosis vs F7

## 2025-04-15 19:26:19.30698 INFO::Creating boxplot for categorical data, diagnosis vs F596

## 2025-04-15 19:26:19.495466 INFO::Creating boxplot for categorical data, diagnosis vs F250

## 2025-04-15 19:26:19.699768 INFO::Creating boxplot for categorical data, diagnosis vs F462

## 2025-04-15 19:26:19.891699 INFO::Creating boxplot for categorical data, diagnosis vs F516

## 2025-04-15 19:26:20.078803 INFO::Creating boxplot for categorical data, diagnosis vs F659

## 2025-04-15 19:26:20.258242 INFO::Creating boxplot for categorical data, diagnosis vs F663

## 2025-04-15 19:26:20.436571 INFO::Creating boxplot for categorical data, diagnosis vs F837

## 2025-04-15 19:26:21.350001 INFO::Creating boxplot for categorical data, diagnosis vs F138

## 2025-04-15 19:26:21.519353 INFO::Creating boxplot for categorical data, diagnosis vs F445

## 2025-04-15 19:26:21.685292 INFO::Creating boxplot for categorical data, diagnosis vs F697

## 2025-04-15 19:26:21.86129 INFO::Creating boxplot for categorical data, diagnosis vs F225

## 2025-04-15 19:26:22.037961 INFO::Creating boxplot for categorical data, diagnosis vs F148

## 2025-04-15 19:26:22.219237 INFO::Creating boxplot for categorical data, diagnosis vs F448

## 2025-04-15 19:26:22.385357 INFO::Creating boxplot for categorical data, diagnosis vs F91

## 2025-04-15 19:26:22.554928 INFO::Creating boxplot for categorical data, diagnosis vs F123

## 2025-04-15 19:26:22.743861 INFO::Creating boxplot for categorical data, diagnosis vs F665

## 2025-04-15 19:26:22.930001 INFO::Creating boxplot for categorical data, diagnosis vs F845

## 2025-04-15 19:26:23.121747 INFO::Creating boxplot for categorical data, diagnosis vs F331

## 2025-04-15 19:26:23.293169 INFO::Creating boxplot for categorical data, diagnosis vs F361

## 2025-04-15 19:26:23.462761 INFO::Creating boxplot for categorical data, diagnosis vs F421

## 2025-04-15 19:26:23.635834 INFO::Creating boxplot for categorical data, diagnosis vs F277

## 2025-04-15 19:26:23.808676 INFO::Creating boxplot for categorical data, diagnosis vs F307

## 2025-04-15 19:26:23.98908 INFO::Creating boxplot for categorical data, diagnosis vs F503

## 2025-04-15 19:26:24.156665 INFO::Creating boxplot for categorical data, diagnosis vs F34

## 2025-04-15 19:26:24.325413 INFO::Creating boxplot for categorical data, diagnosis vs F649

## 2025-04-15 19:26:24.499649 INFO::Creating boxplot for categorical data, diagnosis vs F825

## 2025-04-15 19:26:24.669173 INFO::Creating boxplot for categorical data, diagnosis vs F298

## 2025-04-15 19:26:24.848978 INFO::Creating boxplot for categorical data, diagnosis vs F461

## 2025-04-15 19:26:25.016217 INFO::Creating boxplot for categorical data, diagnosis vs F242

## 2025-04-15 19:26:25.183918 INFO::Creating boxplot for categorical data, diagnosis vs F375

## 2025-04-15 19:26:25.357344 INFO::Creating boxplot for categorical data, diagnosis vs F648

## 2025-04-15 19:26:25.53018 INFO::Creating boxplot for categorical data, diagnosis vs F724

## 2025-04-15 19:26:25.712214 INFO::Creating boxplot for categorical data, diagnosis vs F678

## 2025-04-15 19:26:25.882881 INFO::Creating boxplot for categorical data, diagnosis vs F290

## 2025-04-15 19:26:26.055255 INFO::Creating boxplot for categorical data, diagnosis vs F743

## 2025-04-15 19:26:26.230332 INFO::Creating boxplot for categorical data, diagnosis vs F495

## 2025-04-15 19:26:26.402073 INFO::Creating boxplot for categorical data, diagnosis vs F261

## 2025-04-15 19:26:26.580599 INFO::Creating boxplot for categorical data, diagnosis vs F43

## 2025-04-15 19:26:26.7472 INFO::Creating boxplot for categorical data, diagnosis vs F714

## 2025-04-15 19:26:26.918973 INFO::Creating boxplot for categorical data, diagnosis vs F131

## 2025-04-15 19:26:27.091146 INFO::Creating boxplot for categorical data, diagnosis vs F150

## 2025-04-15 19:26:27.273623 INFO::Creating boxplot for categorical data, diagnosis vs F651

## 2025-04-15 19:26:27.446129 INFO::Creating boxplot for categorical data, diagnosis vs F798

## 2025-04-15 19:26:27.620287 INFO::Creating boxplot for categorical data, diagnosis vs F289

## 2025-04-15 19:26:27.791362 INFO::Creating boxplot for categorical data, diagnosis vs F661

## 2025-04-15 19:26:27.969724 INFO::Creating boxplot for categorical data, diagnosis vs F199

## 2025-04-15 19:26:28.149128 INFO::Creating boxplot for categorical data, diagnosis vs F406

## 2025-04-15 19:26:28.318536 INFO::Creating boxplot for categorical data, diagnosis vs F139

## 2025-04-15 19:26:28.487655 INFO::Creating boxplot for categorical data, diagnosis vs F506

## 2025-04-15 19:26:28.658736 INFO::Creating boxplot for categorical data, diagnosis vs F552

## 2025-04-15 19:26:28.835751 INFO::Creating boxplot for categorical data, diagnosis vs F94

## 2025-04-15 19:26:29.018197 INFO::Creating boxplot for categorical data, diagnosis vs F430

## 2025-04-15 19:26:29.187062 INFO::Creating boxplot for categorical data, diagnosis vs F639

## 2025-04-15 19:26:29.356704 INFO::Creating boxplot for categorical data, diagnosis vs F500

## 2025-04-15 19:26:29.528255 INFO::Creating boxplot for categorical data, diagnosis vs F609

## 2025-04-15 19:26:29.700015 INFO::Creating boxplot for categorical data, diagnosis vs F306

## 2025-04-15 19:26:29.878892 INFO::Creating boxplot for categorical data, diagnosis vs F507

## 2025-04-15 19:26:30.046561 INFO::Creating boxplot for categorical data, diagnosis vs F671

## 2025-04-15 19:26:30.214006 INFO::Creating boxplot for categorical data, diagnosis vs F894

## 2025-04-15 19:26:30.385996 INFO::Creating boxplot for categorical data, diagnosis vs F345

## 2025-04-15 19:26:30.558825 INFO::Creating boxplot for categorical data, diagnosis vs F801

## 2025-04-15 19:26:30.741806 INFO::Creating boxplot for categorical data, diagnosis vs F194

## 2025-04-15 19:26:30.91553 INFO::Creating boxplot for categorical data, diagnosis vs F195

## 2025-04-15 19:26:31.091641 INFO::Creating boxplot for categorical data, diagnosis vs F119

## 2025-04-15 19:26:31.263241 INFO::Creating boxplot for categorical data, diagnosis vs F120

## 2025-04-15 19:26:31.4364 INFO::Creating boxplot for categorical data, diagnosis vs F231

## 2025-04-15 19:26:31.616198 INFO::Creating boxplot for categorical data, diagnosis vs F311

## 2025-04-15 19:26:31.783151 INFO::Creating boxplot for categorical data, diagnosis vs F646

## 2025-04-15 19:26:31.95225 INFO::Creating boxplot for categorical data, diagnosis vs F814

## 2025-04-15 19:26:32.123716 INFO::Creating boxplot for categorical data, diagnosis vs F510

## 2025-04-15 19:26:32.312741 INFO::Creating boxplot for categorical data, diagnosis vs F398

## 2025-04-15 19:26:32.48367 INFO::Creating boxplot for categorical data, diagnosis vs F60

## 2025-04-15 19:26:32.660174 INFO::Creating boxplot for categorical data, diagnosis vs F153

## 2025-04-15 19:26:32.836127 INFO::Creating boxplot for categorical data, diagnosis vs F858

## 2025-04-15 19:26:33.015985 INFO::Creating boxplot for categorical data, diagnosis vs F775

## 2025-04-15 19:26:33.20615 INFO::Creating boxplot for categorical data, diagnosis vs F684

## 2025-04-15 19:26:33.378246 INFO::Creating boxplot for categorical data, diagnosis vs F384

## 2025-04-15 19:26:33.552136 INFO::Creating boxplot for categorical data, diagnosis vs F134

## 2025-04-15 19:26:33.727205 INFO::Creating boxplot for categorical data, diagnosis vs F670

## 2025-04-15 19:26:33.902329 INFO::Creating boxplot for categorical data, diagnosis vs F632

## 2025-04-15 19:26:34.084713 INFO::Creating boxplot for categorical data, diagnosis vs F721

## 2025-04-15 19:26:34.252972 INFO::Creating boxplot for categorical data, diagnosis vs F700

## 2025-04-15 19:26:34.421867 INFO::Creating boxplot for categorical data, diagnosis vs F376

## 2025-04-15 19:26:34.594756 INFO::Creating boxplot for categorical data, diagnosis vs F301

## 2025-04-15 19:26:34.767086 INFO::Creating boxplot for categorical data, diagnosis vs F27

## 2025-04-15 19:26:34.944165 INFO::Creating boxplot for categorical data, diagnosis vs F280

## 2025-04-15 19:26:35.113146 INFO::Creating boxplot for categorical data, diagnosis vs F391

## 2025-04-15 19:26:35.284763 INFO::Creating boxplot for categorical data, diagnosis vs F725

## 2025-04-15 19:26:35.460328 INFO::Creating boxplot for categorical data, diagnosis vs F186

## 2025-04-15 19:26:35.645169 INFO::Creating boxplot for categorical data, diagnosis vs F481

## 2025-04-15 19:26:35.81311 INFO::Creating boxplot for categorical data, diagnosis vs F333

## 2025-04-15 19:26:35.981149 INFO::Creating boxplot for categorical data, diagnosis vs F720

## 2025-04-15 19:26:36.149705 INFO::Creating boxplot for categorical data, diagnosis vs F520

## 2025-04-15 19:26:36.326477 INFO::Creating boxplot for categorical data, diagnosis vs F129

## 2025-04-15 19:26:36.509022 INFO::Creating boxplot for categorical data, diagnosis vs F204

## 2025-04-15 19:26:36.679791 INFO::Creating boxplot for categorical data, diagnosis vs F259

## 2025-04-15 19:26:36.851484 INFO::Creating boxplot for categorical data, diagnosis vs F831

## 2025-04-15 19:26:37.027232 INFO::Creating boxplot for categorical data, diagnosis vs F891

## 2025-04-15 19:26:37.201362 INFO::Creating boxplot for categorical data, diagnosis vs F262

## 2025-04-15 19:26:37.379151 INFO::Creating boxplot for categorical data, diagnosis vs F592

## 2025-04-15 19:26:37.544269 INFO::Creating boxplot for categorical data, diagnosis vs F343

## 2025-04-15 19:26:37.711531 INFO::Creating boxplot for categorical data, diagnosis vs F505

## 2025-04-15 19:26:37.885093 INFO::Creating boxplot for categorical data, diagnosis vs F622

## 2025-04-15 19:26:38.057891 INFO::Creating boxplot for categorical data, diagnosis vs F348

## 2025-04-15 19:26:38.235171 INFO::Creating boxplot for categorical data, diagnosis vs F133

## 2025-04-15 19:26:38.402919 INFO::Creating boxplot for categorical data, diagnosis vs F371

## 2025-04-15 19:26:38.574861 INFO::Creating boxplot for categorical data, diagnosis vs F113

## 2025-04-15 19:26:38.744632 INFO::Creating boxplot for categorical data, diagnosis vs F336

## 2025-04-15 19:26:38.957634 INFO::Creating boxplot for categorical data, diagnosis vs F399

## 2025-04-15 19:26:39.128283 INFO::Creating boxplot for categorical data, diagnosis vs F416

## 2025-04-15 19:26:39.296881 INFO::Creating boxplot for categorical data, diagnosis vs F657

## 2025-04-15 19:26:39.467262 INFO::Creating boxplot for categorical data, diagnosis vs F241

## 2025-04-15 19:26:39.636502 INFO::Creating boxplot for categorical data, diagnosis vs F95

## 2025-04-15 19:26:39.82173 INFO::Creating boxplot for categorical data, diagnosis vs F128

## 2025-04-15 19:26:39.990537 INFO::Creating boxplot for categorical data, diagnosis vs F595

## 2025-04-15 19:26:40.159518 INFO::Creating boxplot for categorical data, diagnosis vs F428

## 2025-04-15 19:26:40.328007 INFO::Creating boxplot for categorical data, diagnosis vs F796

## 2025-04-15 19:26:40.499026 INFO::Creating boxplot for categorical data, diagnosis vs F709

## 2025-04-15 19:26:40.684959 INFO::Creating boxplot for categorical data, diagnosis vs F602

## 2025-04-15 19:26:40.855735 INFO::Creating boxplot for categorical data, diagnosis vs F293

## 2025-04-15 19:26:41.022943 INFO::Creating boxplot for categorical data, diagnosis vs F867

## 2025-04-15 19:26:41.193781 INFO::Creating boxplot for categorical data, diagnosis vs F108

## 2025-04-15 19:26:41.36624 INFO::Creating boxplot for categorical data, diagnosis vs F846

## 2025-04-15 19:26:41.551662 INFO::Creating boxplot for categorical data, diagnosis vs F633

## 2025-04-15 19:26:41.719512 INFO::Creating boxplot for categorical data, diagnosis vs F564

## 2025-04-15 19:26:41.885436 INFO::Creating boxplot for categorical data, diagnosis vs F183

## 2025-04-15 19:26:42.056297 INFO::Creating boxplot for categorical data, diagnosis vs F647

## 2025-04-15 19:26:42.229306 INFO::Creating boxplot for categorical data, diagnosis vs F288

## 2025-04-15 19:26:42.415586 INFO::Creating boxplot for categorical data, diagnosis vs F159

## 2025-04-15 19:26:42.587284 INFO::Creating boxplot for categorical data, diagnosis vs F638

## 2025-04-15 19:26:42.753939 INFO::Creating boxplot for categorical data, diagnosis vs F484

## 2025-04-15 19:26:42.926469 INFO::Creating boxplot for categorical data, diagnosis vs F20

## 2025-04-15 19:26:43.09944 INFO::Creating boxplot for categorical data, diagnosis vs F19

## 2025-04-15 19:26:43.284968 INFO::Creating boxplot for categorical data, diagnosis vs F897

## 2025-04-15 19:26:43.45357 INFO::Creating boxplot for categorical data, diagnosis vs F442

## 2025-04-15 19:26:43.621131 INFO::Creating boxplot for categorical data, diagnosis vs F372

## 2025-04-15 19:26:43.79101 INFO::Creating boxplot for categorical data, diagnosis vs F771

## 2025-04-15 19:26:43.961083 INFO::Creating boxplot for categorical data, diagnosis vs F370

## 2025-04-15 19:26:44.14646 INFO::Creating boxplot for categorical data, diagnosis vs F620

## 2025-04-15 19:26:44.313303 INFO::Creating boxplot for categorical data, diagnosis vs F753

## 2025-04-15 19:26:44.481841 INFO::Creating boxplot for categorical data, diagnosis vs F568

## 2025-04-15 19:26:44.654116 INFO::Creating boxplot for categorical data, diagnosis vs F312

## 2025-04-15 19:26:44.840468 INFO::Creating boxplot for categorical data, diagnosis vs F485

## 2025-04-15 19:26:45.016237 INFO::Creating boxplot for categorical data, diagnosis vs F627

## 2025-04-15 19:26:45.185 INFO::Creating boxplot for categorical data, diagnosis vs F72

## 2025-04-15 19:26:45.355604 INFO::Creating boxplot for categorical data, diagnosis vs F575

## 2025-04-15 19:26:45.526202 INFO::Creating boxplot for categorical data, diagnosis vs F332

## 2025-04-15 19:26:45.716639 INFO::Creating boxplot for categorical data, diagnosis vs F674

## 2025-04-15 19:26:45.889251 INFO::Creating boxplot for categorical data, diagnosis vs F537

## 2025-04-15 19:26:46.058033 INFO::Creating boxplot for categorical data, diagnosis vs F839

## 2025-04-15 19:26:46.229362 INFO::Creating boxplot for categorical data, diagnosis vs F715

## 2025-04-15 19:26:46.401253 INFO::Creating boxplot for categorical data, diagnosis vs F768

## 2025-04-15 19:26:46.589377 INFO::Creating boxplot for categorical data, diagnosis vs F202

## 2025-04-15 19:26:46.759392 INFO::Creating boxplot for categorical data, diagnosis vs F756

## 2025-04-15 19:26:46.924208 INFO::Creating boxplot for categorical data, diagnosis vs F536

## 2025-04-15 19:26:47.0945 INFO::Creating boxplot for categorical data, diagnosis vs F677

## 2025-04-15 19:26:47.265643 INFO::Creating boxplot for categorical data, diagnosis vs F435

## 2025-04-15 19:26:47.453146 INFO::Creating boxplot for categorical data, diagnosis vs F574

## 2025-04-15 19:26:47.620377 INFO::Creating boxplot for categorical data, diagnosis vs F70

## 2025-04-15 19:26:47.789643 INFO::Creating boxplot for categorical data, diagnosis vs F146

## 2025-04-15 19:26:47.961863 INFO::Creating boxplot for categorical data, diagnosis vs F236

## 2025-04-15 19:26:48.136352 INFO::Creating boxplot for categorical data, diagnosis vs F527

## 2025-04-15 19:26:48.327028 INFO::Creating boxplot for categorical data, diagnosis vs F624

## 2025-04-15 19:26:48.495621 INFO::Creating boxplot for categorical data, diagnosis vs F426

## 2025-04-15 19:26:48.664863 INFO::Creating boxplot for categorical data, diagnosis vs F880

## 2025-04-15 19:26:48.836172 INFO::Creating boxplot for categorical data, diagnosis vs F549

## 2025-04-15 19:26:49.024357 INFO::Creating boxplot for categorical data, diagnosis vs F49

## 2025-04-15 19:26:49.20152 INFO::Creating boxplot for categorical data, diagnosis vs F67

## 2025-04-15 19:26:49.37018 INFO::Creating boxplot for categorical data, diagnosis vs F491

## 2025-04-15 19:26:49.541963 INFO::Creating boxplot for categorical data, diagnosis vs F174

## 2025-04-15 19:26:49.71466 INFO::Creating boxplot for categorical data, diagnosis vs F254

## 2025-04-15 19:26:49.902322 INFO::Creating boxplot for categorical data, diagnosis vs F112

## 2025-04-15 19:26:50.069835 INFO::Creating boxplot for categorical data, diagnosis vs F235

## 2025-04-15 19:26:50.236797 INFO::Creating boxplot for categorical data, diagnosis vs F833

## 2025-04-15 19:26:50.412189 INFO::Creating boxplot for categorical data, diagnosis vs F752

## 2025-04-15 19:26:50.588552 INFO::Creating boxplot for categorical data, diagnosis vs F792

## 2025-04-15 19:26:50.782876 INFO::Creating boxplot for categorical data, diagnosis vs F422

## 2025-04-15 19:26:50.956528 INFO::Creating boxplot for categorical data, diagnosis vs F6

## 2025-04-15 19:26:51.126132 INFO::Creating boxplot for categorical data, diagnosis vs F463

## 2025-04-15 19:26:51.299108 INFO::Creating boxplot for categorical data, diagnosis vs F706

## 2025-04-15 19:26:51.475503 INFO::Creating boxplot for categorical data, diagnosis vs F642

## 2025-04-15 19:26:51.670204 INFO::Creating boxplot for categorical data, diagnosis vs F65

## 2025-04-15 19:26:51.843414 INFO::Creating boxplot for categorical data, diagnosis vs F102

## 2025-04-15 19:26:52.016631 INFO::Creating boxplot for categorical data, diagnosis vs F783

## 2025-04-15 19:26:52.192537 INFO::Creating boxplot for categorical data, diagnosis vs F478

## 2025-04-15 19:26:52.385767 INFO::Creating boxplot for categorical data, diagnosis vs F889

## 2025-04-15 19:26:52.565099 INFO::Creating boxplot for categorical data, diagnosis vs F350

## 2025-04-15 19:26:52.733406 INFO::Creating boxplot for categorical data, diagnosis vs F681

## 2025-04-15 19:26:52.902512 INFO::Creating boxplot for categorical data, diagnosis vs F748

## 2025-04-15 19:26:53.078525 INFO::Creating boxplot for categorical data, diagnosis vs F762

## 2025-04-15 19:26:53.266982 INFO::Creating boxplot for categorical data, diagnosis vs F852

## 2025-04-15 19:26:53.437954 INFO::Creating boxplot for categorical data, diagnosis vs F180

## 2025-04-15 19:26:53.608487 INFO::Creating boxplot for categorical data, diagnosis vs F248

## 2025-04-15 19:26:53.779274 INFO::Creating boxplot for categorical data, diagnosis vs F759

## 2025-04-15 19:26:53.951679 INFO::Creating boxplot for categorical data, diagnosis vs F824

## 2025-04-15 19:26:54.142176 INFO::Creating boxplot for categorical data, diagnosis vs F145

## 2025-04-15 19:26:54.3122 INFO::Creating boxplot for categorical data, diagnosis vs F16

## 2025-04-15 19:26:54.482585 INFO::Creating boxplot for categorical data, diagnosis vs F169

## 2025-04-15 19:26:54.658229 INFO::Creating boxplot for categorical data, diagnosis vs F392

## 2025-04-15 19:26:54.836088 INFO::Creating boxplot for categorical data, diagnosis vs F468

## 2025-04-15 19:26:55.030786 INFO::Creating boxplot for categorical data, diagnosis vs F476

## 2025-04-15 19:26:55.200602 INFO::Creating boxplot for categorical data, diagnosis vs F699

## 2025-04-15 19:26:55.370732 INFO::Creating boxplot for categorical data, diagnosis vs F735

## 2025-04-15 19:26:55.545114 INFO::Creating boxplot for categorical data, diagnosis vs F182

## 2025-04-15 19:26:55.737788 INFO::Creating boxplot for categorical data, diagnosis vs F64

## 2025-04-15 19:26:55.910215 INFO::Creating boxplot for categorical data, diagnosis vs F203

## 2025-04-15 19:26:56.081275 INFO::Creating boxplot for categorical data, diagnosis vs F877

## 2025-04-15 19:26:56.25454 INFO::Creating boxplot for categorical data, diagnosis vs F433

## 2025-04-15 19:26:56.42997 INFO::Creating boxplot for categorical data, diagnosis vs F739

## 2025-04-15 19:26:56.670077 INFO::Creating boxplot for categorical data, diagnosis vs F749

## 2025-04-15 19:26:56.841969 INFO::Creating boxplot for categorical data, diagnosis vs F382

## 2025-04-15 19:26:57.009187 INFO::Creating boxplot for categorical data, diagnosis vs F162

## 2025-04-15 19:26:57.186693 INFO::Creating boxplot for categorical data, diagnosis vs F438

## 2025-04-15 19:26:57.362041 INFO::Creating boxplot for categorical data, diagnosis vs F360

## 2025-04-15 19:26:57.553036 INFO::Creating boxplot for categorical data, diagnosis vs F56

## 2025-04-15 19:26:57.727213 INFO::Creating boxplot for categorical data, diagnosis vs F529

## 2025-04-15 19:26:57.899702 INFO::Creating boxplot for categorical data, diagnosis vs F48

## 2025-04-15 19:26:58.074332 INFO::Creating boxplot for categorical data, diagnosis vs F826

## 2025-04-15 19:26:58.248717 INFO::Creating boxplot for categorical data, diagnosis vs F488

## 2025-04-15 19:26:58.437803 INFO::Creating boxplot for categorical data, diagnosis vs F309

## 2025-04-15 19:26:58.611709 INFO::Creating boxplot for categorical data, diagnosis vs F834

## 2025-04-15 19:26:58.785276 INFO::Creating boxplot for categorical data, diagnosis vs F449

## 2025-04-15 19:26:58.961143 INFO::Creating boxplot for categorical data, diagnosis vs F77

## 2025-04-15 19:26:59.134166 INFO::Creating boxplot for categorical data, diagnosis vs F365

## 2025-04-15 19:26:59.323719 INFO::Creating boxplot for categorical data, diagnosis vs F346

## 2025-04-15 19:26:59.495656 INFO::Creating boxplot for categorical data, diagnosis vs F654

## 2025-04-15 19:26:59.666402 INFO::Creating boxplot for categorical data, diagnosis vs F79

## 2025-04-15 19:26:59.838471 INFO::Creating boxplot for categorical data, diagnosis vs F785

## 2025-04-15 19:27:00.021908 INFO::Creating boxplot for categorical data, diagnosis vs F415

## 2025-04-15 19:27:00.193343 INFO::Creating boxplot for categorical data, diagnosis vs F466

## 2025-04-15 19:27:00.365955 INFO::Creating boxplot for categorical data, diagnosis vs F643

## 2025-04-15 19:27:00.537711 INFO::Creating boxplot for categorical data, diagnosis vs F160

## 2025-04-15 19:27:00.713664 INFO::Creating boxplot for categorical data, diagnosis vs F69

## 2025-04-15 19:27:00.903729 INFO::Creating boxplot for categorical data, diagnosis vs F498

## 2025-04-15 19:27:01.080575 INFO::Creating boxplot for categorical data, diagnosis vs F207

## 2025-04-15 19:27:01.252581 INFO::Creating boxplot for categorical data, diagnosis vs F679

## 2025-04-15 19:27:01.422279 INFO::Creating boxplot for categorical data, diagnosis vs F618

## 2025-04-15 19:27:01.593351 INFO::Creating boxplot for categorical data, diagnosis vs F255

## 2025-04-15 19:27:01.780248 INFO::Creating boxplot for categorical data, diagnosis vs F267

## 2025-04-15 19:27:01.954388 INFO::Creating boxplot for categorical data, diagnosis vs F143

## 2025-04-15 19:27:02.123291 INFO::Creating boxplot for categorical data, diagnosis vs F286

## 2025-04-15 19:27:02.294835 INFO::Creating boxplot for categorical data, diagnosis vs F562

## 2025-04-15 19:27:02.466774 INFO::Creating boxplot for categorical data, diagnosis vs F100

## 2025-04-15 19:27:02.65732 INFO::Creating boxplot for categorical data, diagnosis vs F374

## 2025-04-15 19:27:02.833049 INFO::Creating boxplot for categorical data, diagnosis vs F535

## 2025-04-15 19:27:03.003875 INFO::Creating boxplot for categorical data, diagnosis vs F658

## 2025-04-15 19:27:03.178372 INFO::Creating boxplot for categorical data, diagnosis vs F707

## 2025-04-15 19:27:03.348833 INFO::Creating boxplot for categorical data, diagnosis vs F325

## 2025-04-15 19:27:03.533091 INFO::Creating boxplot for categorical data, diagnosis vs F89

## 2025-04-15 19:27:03.705099 INFO::Creating boxplot for categorical data, diagnosis vs F214

## 2025-04-15 19:27:03.874986 INFO::Creating boxplot for categorical data, diagnosis vs F578

## 2025-04-15 19:27:04.048407 INFO::Creating boxplot for categorical data, diagnosis vs F790

## 2025-04-15 19:27:04.22208 INFO::Creating boxplot for categorical data, diagnosis vs F265

## 2025-04-15 19:27:04.415552 INFO::Creating boxplot for categorical data, diagnosis vs F253

## 2025-04-15 19:27:04.591522 INFO::Creating boxplot for categorical data, diagnosis vs F294

## 2025-04-15 19:27:04.764024 INFO::Creating boxplot for categorical data, diagnosis vs F410

## 2025-04-15 19:27:04.939465 INFO::Creating boxplot for categorical data, diagnosis vs F614

## 2025-04-15 19:27:05.125584 INFO::Creating boxplot for categorical data, diagnosis vs F764

## 2025-04-15 19:27:05.302491 INFO::Creating boxplot for categorical data, diagnosis vs F59

## 2025-04-15 19:27:05.472417 INFO::Creating boxplot for categorical data, diagnosis vs F675

## 2025-04-15 19:27:05.645639 INFO::Creating boxplot for categorical data, diagnosis vs F441

## 2025-04-15 19:27:05.821693 INFO::Creating boxplot for categorical data, diagnosis vs F193

## 2025-04-15 19:27:06.010293 INFO::Creating boxplot for categorical data, diagnosis vs F689

## 2025-04-15 19:27:06.188455 INFO::Creating boxplot for categorical data, diagnosis vs F249

## 2025-04-15 19:27:06.359781 INFO::Creating boxplot for categorical data, diagnosis vs F821

## 2025-04-15 19:27:06.537174 INFO::Creating boxplot for categorical data, diagnosis vs F351

## 2025-04-15 19:27:06.711951 INFO::Creating boxplot for categorical data, diagnosis vs F66

## 2025-04-15 19:27:06.907354 INFO::Creating boxplot for categorical data, diagnosis vs F413

## 2025-04-15 19:27:07.083439 INFO::Creating boxplot for categorical data, diagnosis vs F172

## 2025-04-15 19:27:07.255674 INFO::Creating boxplot for categorical data, diagnosis vs F317

## 2025-04-15 19:27:07.432148 INFO::Creating boxplot for categorical data, diagnosis vs F167

## 2025-04-15 19:27:07.609407 INFO::Creating boxplot for categorical data, diagnosis vs F229

## 2025-04-15 19:27:07.801428 INFO::Creating boxplot for categorical data, diagnosis vs F243

## 2025-04-15 19:27:07.975797 INFO::Creating boxplot for categorical data, diagnosis vs F732

## 2025-04-15 19:27:08.147503 INFO::Creating boxplot for categorical data, diagnosis vs F467

## 2025-04-15 19:27:08.323857 INFO::Creating boxplot for categorical data, diagnosis vs F474

## 2025-04-15 19:27:08.516552 INFO::Creating boxplot for categorical data, diagnosis vs F156

## 2025-04-15 19:27:08.691314 INFO::Creating boxplot for categorical data, diagnosis vs F786

## 2025-04-15 19:27:08.866067 INFO::Creating boxplot for categorical data, diagnosis vs F216

## 2025-04-15 19:27:09.045312 INFO::Creating boxplot for categorical data, diagnosis vs F85

## 2025-04-15 19:27:09.21858 INFO::Creating boxplot for categorical data, diagnosis vs F621

## 2025-04-15 19:27:09.406577 INFO::Creating boxplot for categorical data, diagnosis vs F558

## 2025-04-15 19:27:09.581008 INFO::Creating boxplot for categorical data, diagnosis vs F582

## 2025-04-15 19:27:09.750568 INFO::Creating boxplot for categorical data, diagnosis vs F898

## 2025-04-15 19:27:09.924017 INFO::Creating boxplot for categorical data, diagnosis vs F402

## 2025-04-15 19:27:10.097963 INFO::Creating boxplot for categorical data, diagnosis vs F71

## 2025-04-15 19:27:10.287873 INFO::Creating boxplot for categorical data, diagnosis vs F99

## 2025-04-15 19:27:10.46433 INFO::Creating boxplot for categorical data, diagnosis vs F366

## 2025-04-15 19:27:10.633731 INFO::Creating boxplot for categorical data, diagnosis vs F778

## 2025-04-15 19:27:10.808698 INFO::Creating boxplot for categorical data, diagnosis vs F188

## 2025-04-15 19:27:10.991237 INFO::Creating boxplot for categorical data, diagnosis vs F857

## 2025-04-15 19:27:11.181138 INFO::Creating boxplot for categorical data, diagnosis vs F440

## 2025-04-15 19:27:11.355341 INFO::Creating boxplot for categorical data, diagnosis vs F799

## 2025-04-15 19:27:11.526967 INFO::Creating boxplot for categorical data, diagnosis vs F482

## 2025-04-15 19:27:11.700588 INFO::Creating boxplot for categorical data, diagnosis vs F212

## 2025-04-15 19:27:11.888975 INFO::Creating boxplot for categorical data, diagnosis vs F882

## 2025-04-15 19:27:12.066549 INFO::Creating boxplot for categorical data, diagnosis vs F599

## 2025-04-15 19:27:12.240185 INFO::Creating boxplot for categorical data, diagnosis vs F302

## 2025-04-15 19:27:12.41404 INFO::Creating boxplot for categorical data, diagnosis vs F543

## 2025-04-15 19:27:12.590737 INFO::Creating boxplot for categorical data, diagnosis vs F269

## 2025-04-15 19:27:12.789926 INFO::Creating boxplot for categorical data, diagnosis vs F650

## 2025-04-15 19:27:12.96704 INFO::Creating boxplot for categorical data, diagnosis vs F456

## 2025-04-15 19:27:13.136745 INFO::Creating boxplot for categorical data, diagnosis vs F573

## 2025-04-15 19:27:13.313723 INFO::Creating boxplot for categorical data, diagnosis vs F8

## 2025-04-15 19:27:13.489995 INFO::Creating boxplot for categorical data, diagnosis vs F810

## 2025-04-15 19:27:13.681336 INFO::Creating boxplot for categorical data, diagnosis vs F401

## 2025-04-15 19:27:13.860544 INFO::Creating boxplot for categorical data, diagnosis vs F606

## 2025-04-15 19:27:14.035211 INFO::Creating boxplot for categorical data, diagnosis vs F662

## 2025-04-15 19:27:14.212442 INFO::Creating boxplot for categorical data, diagnosis vs F765

## 2025-04-15 19:27:14.437786 INFO::Creating boxplot for categorical data, diagnosis vs F887

## 2025-04-15 19:27:14.614471 INFO::Creating boxplot for categorical data, diagnosis vs F770

## 2025-04-15 19:27:14.78858 INFO::Creating boxplot for categorical data, diagnosis vs F469

## 2025-04-15 19:27:14.966721 INFO::Creating boxplot for categorical data, diagnosis vs F86

## 2025-04-15 19:27:15.143508 INFO::Creating boxplot for categorical data, diagnosis vs F400

## 2025-04-15 19:27:15.340796 INFO::Creating boxplot for categorical data, diagnosis vs F579

## 2025-04-15 19:27:15.515023 INFO::Creating boxplot for categorical data, diagnosis vs F871

## 2025-04-15 19:27:15.685907 INFO::Creating boxplot for categorical data, diagnosis vs F37

## 2025-04-15 19:27:15.853966 INFO::Creating boxplot for categorical data, diagnosis vs F446

## 2025-04-15 19:27:16.025936 INFO::Creating boxplot for categorical data, diagnosis vs F218

## 2025-04-15 19:27:16.225888 INFO::Creating boxplot for categorical data, diagnosis vs F321

## 2025-04-15 19:27:16.406108 INFO::Creating boxplot for categorical data, diagnosis vs F487

## 2025-04-15 19:27:16.583159 INFO::Creating boxplot for categorical data, diagnosis vs F740

## 2025-04-15 19:27:16.759006 INFO::Creating boxplot for categorical data, diagnosis vs F141

## 2025-04-15 19:27:16.933799 INFO::Creating boxplot for categorical data, diagnosis vs F327

## 2025-04-15 19:27:17.126876 INFO::Creating boxplot for categorical data, diagnosis vs F196

## 2025-04-15 19:27:17.306686 INFO::Creating boxplot for categorical data, diagnosis vs F883

## 2025-04-15 19:27:17.482205 INFO::Creating boxplot for categorical data, diagnosis vs F279

## 2025-04-15 19:27:17.658101 INFO::Creating boxplot for categorical data, diagnosis vs F838

## 2025-04-15 19:27:17.834311 INFO::Creating boxplot for categorical data, diagnosis vs F451

## 2025-04-15 19:27:18.033988 INFO::Creating boxplot for categorical data, diagnosis vs F854

## 2025-04-15 19:27:18.209028 INFO::Creating boxplot for categorical data, diagnosis vs F434

## 2025-04-15 19:27:18.385688 INFO::Creating boxplot for categorical data, diagnosis vs F519

## 2025-04-15 19:27:18.561287 INFO::Creating boxplot for categorical data, diagnosis vs F694

## 2025-04-15 19:27:18.739586 INFO::Creating boxplot for categorical data, diagnosis vs F561

## 2025-04-15 19:27:18.942547 INFO::Creating boxplot for categorical data, diagnosis vs F10

## 2025-04-15 19:27:19.122121 INFO::Creating boxplot for categorical data, diagnosis vs F303

## 2025-04-15 19:27:19.294586 INFO::Creating boxplot for categorical data, diagnosis vs F512

## 2025-04-15 19:27:19.468911 INFO::Creating boxplot for categorical data, diagnosis vs F645

## 2025-04-15 19:27:19.642426 INFO::Creating boxplot for categorical data, diagnosis vs F793

## 2025-04-15 19:27:19.839817 INFO::Creating boxplot for categorical data, diagnosis vs F404

## 2025-04-15 19:27:20.014613 INFO::Creating boxplot for categorical data, diagnosis vs F362

## 2025-04-15 19:27:20.190197 INFO::Creating boxplot for categorical data, diagnosis vs F525

## 2025-04-15 19:27:20.36376 INFO::Creating boxplot for categorical data, diagnosis vs F742

## 2025-04-15 19:27:20.559215 INFO::Creating boxplot for categorical data, diagnosis vs F276

## 2025-04-15 19:27:20.738881 INFO::Creating boxplot for categorical data, diagnosis vs F499

## 2025-04-15 19:27:20.913658 INFO::Creating boxplot for categorical data, diagnosis vs F328

## 2025-04-15 19:27:21.090282 INFO::Creating boxplot for categorical data, diagnosis vs F787

## 2025-04-15 19:27:21.269093 INFO::Creating boxplot for categorical data, diagnosis vs F30

## 2025-04-15 19:27:21.469948 INFO::Creating boxplot for categorical data, diagnosis vs F122

## 2025-04-15 19:27:21.648114 INFO::Creating boxplot for categorical data, diagnosis vs F619

## 2025-04-15 19:27:21.823809 INFO::Creating boxplot for categorical data, diagnosis vs F572

## 2025-04-15 19:27:22.002085 INFO::Creating boxplot for categorical data, diagnosis vs F47

## 2025-04-15 19:27:22.180981 INFO::Creating boxplot for categorical data, diagnosis vs F570

## 2025-04-15 19:27:22.379918 INFO::Creating boxplot for categorical data, diagnosis vs F26

## 2025-04-15 19:27:22.559295 INFO::Creating boxplot for categorical data, diagnosis vs F252

## 2025-04-15 19:27:22.737051 INFO::Creating boxplot for categorical data, diagnosis vs F117

## 2025-04-15 19:27:22.915866 INFO::Creating boxplot for categorical data, diagnosis vs F683

## 2025-04-15 19:27:23.096616 INFO::Creating boxplot for categorical data, diagnosis vs F395

## 2025-04-15 19:27:23.2994 INFO::Creating boxplot for categorical data, diagnosis vs F822

## 2025-04-15 19:27:23.478561 INFO::Creating boxplot for categorical data, diagnosis vs F46

## 2025-04-15 19:27:23.65317 INFO::Creating boxplot for categorical data, diagnosis vs F154

## 2025-04-15 19:27:23.832471 INFO::Creating boxplot for categorical data, diagnosis vs F540

## 2025-04-15 19:27:24.027916 INFO::Creating boxplot for categorical data, diagnosis vs F884

## 2025-04-15 19:27:24.211194 INFO::Creating boxplot for categorical data, diagnosis vs F368

## 2025-04-15 19:27:24.392265 INFO::Creating boxplot for categorical data, diagnosis vs F607

## 2025-04-15 19:27:24.570383 INFO::Creating boxplot for categorical data, diagnosis vs F111

## 2025-04-15 19:27:24.751286 INFO::Creating boxplot for categorical data, diagnosis vs F745

## 2025-04-15 19:27:24.951854 INFO::Creating boxplot for categorical data, diagnosis vs F673

## 2025-04-15 19:27:25.133788 INFO::Creating boxplot for categorical data, diagnosis vs F92

## 2025-04-15 19:27:25.311218 INFO::Creating boxplot for categorical data, diagnosis vs F493

## 2025-04-15 19:27:25.487978 INFO::Creating boxplot for categorical data, diagnosis vs F835

## 2025-04-15 19:27:25.667414 INFO::Creating boxplot for categorical data, diagnosis vs F872

## 2025-04-15 19:27:25.870453 INFO::Creating boxplot for categorical data, diagnosis vs F879

## 2025-04-15 19:27:26.049334 INFO::Creating boxplot for categorical data, diagnosis vs F432

## 2025-04-15 19:27:26.229599 INFO::Creating boxplot for categorical data, diagnosis vs F518

## 2025-04-15 19:27:26.418208 INFO::Creating boxplot for categorical data, diagnosis vs F44

## 2025-04-15 19:27:26.606036 INFO::Creating boxplot for categorical data, diagnosis vs F240

## 2025-04-15 19:27:26.819056 INFO::Creating boxplot for categorical data, diagnosis vs F819

## 2025-04-15 19:27:27.00604 INFO::Creating boxplot for categorical data, diagnosis vs F411

## 2025-04-15 19:27:27.193391 INFO::Creating boxplot for categorical data, diagnosis vs F353

## 2025-04-15 19:27:27.380149 INFO::Creating boxplot for categorical data, diagnosis vs F763

## 2025-04-15 19:27:27.603613 INFO::Creating boxplot for categorical data, diagnosis vs F97

## 2025-04-15 19:27:27.798919 INFO::Creating boxplot for categorical data, diagnosis vs F40

## 2025-04-15 19:27:27.986154 INFO::Creating boxplot for categorical data, diagnosis vs F652

## 2025-04-15 19:27:28.161911 INFO::Creating boxplot for categorical data, diagnosis vs F789

## 2025-04-15 19:27:28.339837 INFO::Creating boxplot for categorical data, diagnosis vs F25

## 2025-04-15 19:27:28.537843 INFO::Creating boxplot for categorical data, diagnosis vs F256

## 2025-04-15 19:27:28.716598 INFO::Creating boxplot for categorical data, diagnosis vs F423

## 2025-04-15 19:27:28.893874 INFO::Creating boxplot for categorical data, diagnosis vs F594

## 2025-04-15 19:27:29.071123 INFO::Creating boxplot for categorical data, diagnosis vs F201

## 2025-04-15 19:27:29.248872 INFO::Creating boxplot for categorical data, diagnosis vs F813

## 2025-04-15 19:27:29.451302 INFO::Creating boxplot for categorical data, diagnosis vs F653

## 2025-04-15 19:27:29.630316 INFO::Creating boxplot for categorical data, diagnosis vs F524

## 2025-04-15 19:27:29.805824 INFO::Creating boxplot for categorical data, diagnosis vs F777

## 2025-04-15 19:27:29.986181 INFO::Creating boxplot for categorical data, diagnosis vs F226

## 2025-04-15 19:27:30.19742 INFO::Creating boxplot for categorical data, diagnosis vs F227

## 2025-04-15 19:27:30.380883 INFO::Creating boxplot for categorical data, diagnosis vs F521

## 2025-04-15 19:27:30.556092 INFO::Creating boxplot for categorical data, diagnosis vs F14

## 2025-04-15 19:27:30.729079 INFO::Creating boxplot for categorical data, diagnosis vs F310

## 2025-04-15 19:27:30.906023 INFO::Creating boxplot for categorical data, diagnosis vs F452

## 2025-04-15 19:27:31.104873 INFO::Creating boxplot for categorical data, diagnosis vs F52

## 2025-04-15 19:27:31.283972 INFO::Creating boxplot for categorical data, diagnosis vs F53

## 2025-04-15 19:27:31.46244 INFO::Creating boxplot for categorical data, diagnosis vs F844

## 2025-04-15 19:27:31.643111 INFO::Creating boxplot for categorical data, diagnosis vs F31

## 2025-04-15 19:27:31.825743 INFO::Creating boxplot for categorical data, diagnosis vs F795

## 2025-04-15 19:27:32.038635 INFO::Creating boxplot for categorical data, diagnosis vs F766

## 2025-04-15 19:27:32.232223 INFO::Creating boxplot for categorical data, diagnosis vs F342

## 2025-04-15 19:27:32.418778 INFO::Creating boxplot for categorical data, diagnosis vs F408

## 2025-04-15 19:27:32.61085 INFO::Creating boxplot for categorical data, diagnosis vs F282

## 2025-04-15 19:27:32.877854 INFO::Creating boxplot for categorical data, diagnosis vs F508

## 2025-04-15 19:27:33.063382 INFO::Creating boxplot for categorical data, diagnosis vs F805

## 2025-04-15 19:27:33.246503 INFO::Creating boxplot for categorical data, diagnosis vs F337

## 2025-04-15 19:27:33.440817 INFO::Creating boxplot for categorical data, diagnosis vs F820

## 2025-04-15 19:27:33.631869 INFO::Creating boxplot for categorical data, diagnosis vs F593

## 2025-04-15 19:27:33.872501 INFO::Creating boxplot for categorical data, diagnosis vs F701

## 2025-04-15 19:27:34.069397 INFO::Creating boxplot for categorical data, diagnosis vs F459

## 2025-04-15 19:27:34.253695 INFO::Creating boxplot for categorical data, diagnosis vs F305

## 2025-04-15 19:27:34.450812 INFO::Creating boxplot for categorical data, diagnosis vs F142

## 2025-04-15 19:27:34.636096 INFO::Creating boxplot for categorical data, diagnosis vs F534

## 2025-04-15 19:27:34.833243 INFO::Creating boxplot for categorical data, diagnosis vs F135

## 2025-04-15 19:27:35.016603 INFO::Creating boxplot for categorical data, diagnosis vs F702

## 2025-04-15 19:27:35.199453 INFO::Creating boxplot for categorical data, diagnosis vs F776

## 2025-04-15 19:27:35.388453 INFO::Creating boxplot for categorical data, diagnosis vs F295

## 2025-04-15 19:27:35.58294 INFO::Creating boxplot for categorical data, diagnosis vs F355

## 2025-04-15 19:27:35.789937 INFO::Creating boxplot for categorical data, diagnosis vs F797

## 2025-04-15 19:27:35.972796 INFO::Creating boxplot for categorical data, diagnosis vs F13

## 2025-04-15 19:27:36.154549 INFO::Creating boxplot for categorical data, diagnosis vs F356

## 2025-04-15 19:27:36.340459 INFO::Creating boxplot for categorical data, diagnosis vs F359

## 2025-04-15 19:27:36.515329 INFO::Creating boxplot for categorical data, diagnosis vs F121

## 2025-04-15 19:27:36.709699 INFO::Creating boxplot for categorical data, diagnosis vs F850

## 2025-04-15 19:27:36.887892 INFO::Creating boxplot for categorical data, diagnosis vs F899

## 2025-04-15 19:27:37.067288 INFO::Creating boxplot for categorical data, diagnosis vs F628

## 2025-04-15 19:27:37.241516 INFO::Creating boxplot for categorical data, diagnosis vs F843

## 2025-04-15 19:27:37.413547 INFO::Creating boxplot for categorical data, diagnosis vs F107

## 2025-04-15 19:27:37.607351 INFO::Creating boxplot for categorical data, diagnosis vs F287

## 2025-04-15 19:27:37.786939 INFO::Creating boxplot for categorical data, diagnosis vs F165

## 2025-04-15 19:27:37.965439 INFO::Creating boxplot for categorical data, diagnosis vs F557

## 2025-04-15 19:27:38.146208 INFO::Creating boxplot for categorical data, diagnosis vs F127

## 2025-04-15 19:27:38.341474 INFO::Creating boxplot for categorical data, diagnosis vs F299

## 2025-04-15 19:27:38.538369 INFO::Creating boxplot for categorical data, diagnosis vs F497

## 2025-04-15 19:27:38.730213 INFO::Creating boxplot for categorical data, diagnosis vs F711

## 2025-04-15 19:27:38.923488 INFO::Creating boxplot for categorical data, diagnosis vs F319

## 2025-04-15 19:27:39.10115 INFO::Creating boxplot for categorical data, diagnosis vs F271

## 2025-04-15 19:27:39.299319 INFO::Creating boxplot for categorical data, diagnosis vs F157

## 2025-04-15 19:27:39.480253 INFO::Creating boxplot for categorical data, diagnosis vs F560

## 2025-04-15 19:27:39.667881 INFO::Creating boxplot for categorical data, diagnosis vs F680

## 2025-04-15 19:27:39.84908 INFO::Creating boxplot for categorical data, diagnosis vs F580

## 2025-04-15 19:27:40.027354 INFO::Creating boxplot for categorical data, diagnosis vs F152

## 2025-04-15 19:27:40.217758 INFO::Creating boxplot for categorical data, diagnosis vs F12

## 2025-04-15 19:27:40.39398 INFO::Creating boxplot for categorical data, diagnosis vs F324

## 2025-04-15 19:27:40.569677 INFO::Creating boxplot for categorical data, diagnosis vs F893

## 2025-04-15 19:27:40.749929 INFO::Creating boxplot for categorical data, diagnosis vs F318

## 2025-04-15 19:27:40.925955 INFO::Creating boxplot for categorical data, diagnosis vs F784

## 2025-04-15 19:27:41.117531 INFO::Creating boxplot for categorical data, diagnosis vs F567

## 2025-04-15 19:27:41.295035 INFO::Creating boxplot for categorical data, diagnosis vs F457

## 2025-04-15 19:27:41.472635 INFO::Creating boxplot for categorical data, diagnosis vs F708

## 2025-04-15 19:27:41.647362 INFO::Creating boxplot for categorical data, diagnosis vs F669

## 2025-04-15 19:27:41.822472 INFO::Creating boxplot for categorical data, diagnosis vs F87

## 2025-04-15 19:27:44.198084 INFO::Plotting data for metadata number 2, antibiotics
## 2025-04-15 19:27:44.200149 INFO::Creating boxplot for categorical data, antibiotics vs F663

## 2025-04-15 19:27:44.401767 INFO::Creating boxplot for categorical data, antibiotics vs F838

## 2025-04-15 19:27:44.598538 INFO::Creating boxplot for categorical data, antibiotics vs F764

## 2025-04-15 19:27:44.794786 INFO::Creating boxplot for categorical data, antibiotics vs F880

## 2025-04-15 19:27:44.991386 INFO::Creating boxplot for categorical data, antibiotics vs F751

## 2025-04-15 19:27:45.207828 INFO::Creating boxplot for categorical data, antibiotics vs F288

## 2025-04-15 19:27:45.400751 INFO::Creating boxplot for categorical data, antibiotics vs F65

## 2025-04-15 19:27:45.596757 INFO::Creating boxplot for categorical data, antibiotics vs F742

## 2025-04-15 19:27:45.782728 INFO::Creating boxplot for categorical data, antibiotics vs F528

## 2025-04-15 19:27:45.988019 INFO::Creating boxplot for categorical data, antibiotics vs F790

## 2025-04-15 19:27:46.180577 INFO::Creating boxplot for categorical data, antibiotics vs F777

## 2025-04-15 19:27:46.371595 INFO::Creating boxplot for categorical data, antibiotics vs F178

## 2025-04-15 19:27:46.563221 INFO::Creating boxplot for categorical data, antibiotics vs F139

## 2025-04-15 19:27:46.753078 INFO::Creating boxplot for categorical data, antibiotics vs F202

## 2025-04-15 19:27:46.963877 INFO::Creating boxplot for categorical data, antibiotics vs F220

## 2025-04-15 19:27:47.161218 INFO::Creating boxplot for categorical data, antibiotics vs F397

## 2025-04-15 19:27:47.364291 INFO::Creating boxplot for categorical data, antibiotics vs F882

## 2025-04-15 19:27:47.549966 INFO::Creating boxplot for categorical data, antibiotics vs F446

## 2025-04-15 19:27:47.756971 INFO::Creating boxplot for categorical data, antibiotics vs F418

## 2025-04-15 19:27:47.946366 INFO::Creating boxplot for categorical data, antibiotics vs F133

## 2025-04-15 19:27:48.136581 INFO::Creating boxplot for categorical data, antibiotics vs F696

## 2025-04-15 19:27:48.322684 INFO::Creating boxplot for categorical data, antibiotics vs F548

## 2025-04-15 19:27:48.528898 INFO::Creating boxplot for categorical data, antibiotics vs F536

## 2025-04-15 19:27:48.719852 INFO::Creating boxplot for categorical data, antibiotics vs F194

## 2025-04-15 19:27:48.910028 INFO::Creating boxplot for categorical data, antibiotics vs F34

## 2025-04-15 19:27:49.104945 INFO::Creating boxplot for categorical data, antibiotics vs F153

## 2025-04-15 19:27:49.296472 INFO::Creating boxplot for categorical data, antibiotics vs F400

## 2025-04-15 19:27:49.509274 INFO::Creating boxplot for categorical data, antibiotics vs F794

## 2025-04-15 19:27:49.707467 INFO::Creating boxplot for categorical data, antibiotics vs F396

## 2025-04-15 19:27:49.900054 INFO::Creating boxplot for categorical data, antibiotics vs F182

## 2025-04-15 19:27:50.093971 INFO::Creating boxplot for categorical data, antibiotics vs F719

## 2025-04-15 19:27:50.301994 INFO::Creating boxplot for categorical data, antibiotics vs F109

## 2025-04-15 19:27:50.494523 INFO::Creating boxplot for categorical data, antibiotics vs F180

## 2025-04-15 19:27:50.686508 INFO::Creating boxplot for categorical data, antibiotics vs F552

## 2025-04-15 19:27:50.876354 INFO::Creating boxplot for categorical data, antibiotics vs F789

## 2025-04-15 19:27:51.084091 INFO::Creating boxplot for categorical data, antibiotics vs F893

## 2025-04-15 19:27:51.282252 INFO::Creating boxplot for categorical data, antibiotics vs F834

## 2025-04-15 19:27:51.478553 INFO::Creating boxplot for categorical data, antibiotics vs F889

## 2025-04-15 19:27:51.673364 INFO::Creating boxplot for categorical data, antibiotics vs F143

## 2025-04-15 19:27:51.860494 INFO::Creating boxplot for categorical data, antibiotics vs F224

## 2025-04-15 19:27:52.111084 INFO::Creating boxplot for categorical data, antibiotics vs F5

## 2025-04-15 19:27:52.30201 INFO::Creating boxplot for categorical data, antibiotics vs F873

## 2025-04-15 19:27:52.496944 INFO::Creating boxplot for categorical data, antibiotics vs F452

## 2025-04-15 19:27:52.688722 INFO::Creating boxplot for categorical data, antibiotics vs F681

## 2025-04-15 19:27:52.904391 INFO::Creating boxplot for categorical data, antibiotics vs F468

## 2025-04-15 19:27:53.102118 INFO::Creating boxplot for categorical data, antibiotics vs F731

## 2025-04-15 19:27:53.309506 INFO::Creating boxplot for categorical data, antibiotics vs F479

## 2025-04-15 19:27:53.515511 INFO::Creating boxplot for categorical data, antibiotics vs F520

## 2025-04-15 19:27:53.715612 INFO::Creating boxplot for categorical data, antibiotics vs F649

## 2025-04-15 19:27:53.948724 INFO::Creating boxplot for categorical data, antibiotics vs F259

## 2025-04-15 19:27:54.14835 INFO::Creating boxplot for categorical data, antibiotics vs F186

## 2025-04-15 19:27:54.341842 INFO::Creating boxplot for categorical data, antibiotics vs F312

## 2025-04-15 19:27:54.53127 INFO::Creating boxplot for categorical data, antibiotics vs F477

## 2025-04-15 19:27:54.745707 INFO::Creating boxplot for categorical data, antibiotics vs F4

## 2025-04-15 19:27:54.939166 INFO::Creating boxplot for categorical data, antibiotics vs F632

## 2025-04-15 19:27:55.131767 INFO::Creating boxplot for categorical data, antibiotics vs F31

## 2025-04-15 19:27:55.328878 INFO::Creating boxplot for categorical data, antibiotics vs F184

## 2025-04-15 19:27:55.521789 INFO::Creating boxplot for categorical data, antibiotics vs F7

## 2025-04-15 19:27:55.742786 INFO::Creating boxplot for categorical data, antibiotics vs F213

## 2025-04-15 19:27:55.939782 INFO::Creating boxplot for categorical data, antibiotics vs F691

## 2025-04-15 19:27:56.13518 INFO::Creating boxplot for categorical data, antibiotics vs F828

## 2025-04-15 19:27:56.332599 INFO::Creating boxplot for categorical data, antibiotics vs F831

## 2025-04-15 19:27:56.546208 INFO::Creating boxplot for categorical data, antibiotics vs F315

## 2025-04-15 19:27:56.737636 INFO::Creating boxplot for categorical data, antibiotics vs F159

## 2025-04-15 19:27:56.92669 INFO::Creating boxplot for categorical data, antibiotics vs F331

## 2025-04-15 19:27:57.123313 INFO::Creating boxplot for categorical data, antibiotics vs F757

## 2025-04-15 19:27:57.314078 INFO::Creating boxplot for categorical data, antibiotics vs F167

## 2025-04-15 19:27:57.531146 INFO::Creating boxplot for categorical data, antibiotics vs F85

## 2025-04-15 19:27:57.722515 INFO::Creating boxplot for categorical data, antibiotics vs F80

## 2025-04-15 19:27:57.917821 INFO::Creating boxplot for categorical data, antibiotics vs F105

## 2025-04-15 19:27:58.111375 INFO::Creating boxplot for categorical data, antibiotics vs F674

## 2025-04-15 19:27:58.326591 INFO::Creating boxplot for categorical data, antibiotics vs F50

## 2025-04-15 19:27:58.520483 INFO::Creating boxplot for categorical data, antibiotics vs F164

## 2025-04-15 19:27:58.715345 INFO::Creating boxplot for categorical data, antibiotics vs F840

## 2025-04-15 19:27:58.912874 INFO::Creating boxplot for categorical data, antibiotics vs F232

## 2025-04-15 19:27:59.103484 INFO::Creating boxplot for categorical data, antibiotics vs F872

## 2025-04-15 19:27:59.319726 INFO::Creating boxplot for categorical data, antibiotics vs F54

## 2025-04-15 19:27:59.515572 INFO::Creating boxplot for categorical data, antibiotics vs F365

## 2025-04-15 19:27:59.710755 INFO::Creating boxplot for categorical data, antibiotics vs F499

## 2025-04-15 19:27:59.900604 INFO::Creating boxplot for categorical data, antibiotics vs F510

## 2025-04-15 19:28:00.117979 INFO::Creating boxplot for categorical data, antibiotics vs F716

## 2025-04-15 19:28:00.310266 INFO::Creating boxplot for categorical data, antibiotics vs F454

## 2025-04-15 19:28:00.502642 INFO::Creating boxplot for categorical data, antibiotics vs F52

## 2025-04-15 19:28:00.696891 INFO::Creating boxplot for categorical data, antibiotics vs F273

## 2025-04-15 19:28:00.906132 INFO::Creating boxplot for categorical data, antibiotics vs F474

## 2025-04-15 19:28:01.103121 INFO::Creating boxplot for categorical data, antibiotics vs F267

## 2025-04-15 19:28:01.295087 INFO::Creating boxplot for categorical data, antibiotics vs F253

## 2025-04-15 19:28:01.488209 INFO::Creating boxplot for categorical data, antibiotics vs F247

## 2025-04-15 19:28:01.67855 INFO::Creating boxplot for categorical data, antibiotics vs F708

## 2025-04-15 19:28:01.892262 INFO::Creating boxplot for categorical data, antibiotics vs F438

## 2025-04-15 19:28:02.084459 INFO::Creating boxplot for categorical data, antibiotics vs F450

## 2025-04-15 19:28:02.274872 INFO::Creating boxplot for categorical data, antibiotics vs F666

## 2025-04-15 19:28:02.467946 INFO::Creating boxplot for categorical data, antibiotics vs F720

## 2025-04-15 19:28:02.6767 INFO::Creating boxplot for categorical data, antibiotics vs F48

## 2025-04-15 19:28:02.866688 INFO::Creating boxplot for categorical data, antibiotics vs F371

## 2025-04-15 19:28:03.053123 INFO::Creating boxplot for categorical data, antibiotics vs F423

## 2025-04-15 19:28:03.249524 INFO::Creating boxplot for categorical data, antibiotics vs F190

## 2025-04-15 19:28:03.436994 INFO::Creating boxplot for categorical data, antibiotics vs F351

## 2025-04-15 19:28:03.650486 INFO::Creating boxplot for categorical data, antibiotics vs F394

## 2025-04-15 19:28:03.839772 INFO::Creating boxplot for categorical data, antibiotics vs F581

## 2025-04-15 19:28:04.035852 INFO::Creating boxplot for categorical data, antibiotics vs F276

## 2025-04-15 19:28:04.227365 INFO::Creating boxplot for categorical data, antibiotics vs F608

## 2025-04-15 19:28:04.441449 INFO::Creating boxplot for categorical data, antibiotics vs F28

## 2025-04-15 19:28:04.630171 INFO::Creating boxplot for categorical data, antibiotics vs F805

## 2025-04-15 19:28:04.819697 INFO::Creating boxplot for categorical data, antibiotics vs F249

## 2025-04-15 19:28:05.014551 INFO::Creating boxplot for categorical data, antibiotics vs F776

## 2025-04-15 19:28:05.237727 INFO::Creating boxplot for categorical data, antibiotics vs F755

## 2025-04-15 19:28:05.442375 INFO::Creating boxplot for categorical data, antibiotics vs F68

## 2025-04-15 19:28:05.650175 INFO::Creating boxplot for categorical data, antibiotics vs F78

## 2025-04-15 19:28:05.857868 INFO::Creating boxplot for categorical data, antibiotics vs F381

## 2025-04-15 19:28:06.05753 INFO::Creating boxplot for categorical data, antibiotics vs F644

## 2025-04-15 19:28:06.284074 INFO::Creating boxplot for categorical data, antibiotics vs F358

## 2025-04-15 19:28:06.488036 INFO::Creating boxplot for categorical data, antibiotics vs F344

## 2025-04-15 19:28:06.699805 INFO::Creating boxplot for categorical data, antibiotics vs F209

## 2025-04-15 19:28:06.922856 INFO::Creating boxplot for categorical data, antibiotics vs F898

## 2025-04-15 19:28:07.168039 INFO::Creating boxplot for categorical data, antibiotics vs F51

## 2025-04-15 19:28:07.364736 INFO::Creating boxplot for categorical data, antibiotics vs F149

## 2025-04-15 19:28:07.56626 INFO::Creating boxplot for categorical data, antibiotics vs F108

## 2025-04-15 19:28:07.76316 INFO::Creating boxplot for categorical data, antibiotics vs F255

## 2025-04-15 19:28:07.980023 INFO::Creating boxplot for categorical data, antibiotics vs F823

## 2025-04-15 19:28:08.187699 INFO::Creating boxplot for categorical data, antibiotics vs F864

## 2025-04-15 19:28:08.404369 INFO::Creating boxplot for categorical data, antibiotics vs F214

## 2025-04-15 19:28:08.613096 INFO::Creating boxplot for categorical data, antibiotics vs F76

## 2025-04-15 19:28:08.813409 INFO::Creating boxplot for categorical data, antibiotics vs F575

## 2025-04-15 19:28:09.040295 INFO::Creating boxplot for categorical data, antibiotics vs F13

## 2025-04-15 19:28:09.245984 INFO::Creating boxplot for categorical data, antibiotics vs F389

## 2025-04-15 19:28:09.478002 INFO::Creating boxplot for categorical data, antibiotics vs F556

## 2025-04-15 19:28:09.704374 INFO::Creating boxplot for categorical data, antibiotics vs F49

## 2025-04-15 19:28:09.927006 INFO::Creating boxplot for categorical data, antibiotics vs F436

## 2025-04-15 19:28:10.1246 INFO::Creating boxplot for categorical data, antibiotics vs F378

## 2025-04-15 19:28:10.324736 INFO::Creating boxplot for categorical data, antibiotics vs F682

## 2025-04-15 19:28:10.528839 INFO::Creating boxplot for categorical data, antibiotics vs F47

## 2025-04-15 19:28:11.47233 INFO::Creating boxplot for categorical data, antibiotics vs F429

## 2025-04-15 19:28:11.657406 INFO::Creating boxplot for categorical data, antibiotics vs F588

## 2025-04-15 19:28:11.838359 INFO::Creating boxplot for categorical data, antibiotics vs F616

## 2025-04-15 19:28:12.028947 INFO::Creating boxplot for categorical data, antibiotics vs F323

## 2025-04-15 19:28:12.220762 INFO::Creating boxplot for categorical data, antibiotics vs F409

## 2025-04-15 19:28:12.416619 INFO::Creating boxplot for categorical data, antibiotics vs F326

## 2025-04-15 19:28:12.596844 INFO::Creating boxplot for categorical data, antibiotics vs F698

## 2025-04-15 19:28:12.776269 INFO::Creating boxplot for categorical data, antibiotics vs F567

## 2025-04-15 19:28:12.959261 INFO::Creating boxplot for categorical data, antibiotics vs F179

## 2025-04-15 19:28:13.154038 INFO::Creating boxplot for categorical data, antibiotics vs F787

## 2025-04-15 19:28:13.333363 INFO::Creating boxplot for categorical data, antibiotics vs F79

## 2025-04-15 19:28:13.512542 INFO::Creating boxplot for categorical data, antibiotics vs F335

## 2025-04-15 19:28:13.697426 INFO::Creating boxplot for categorical data, antibiotics vs F576

## 2025-04-15 19:28:13.881013 INFO::Creating boxplot for categorical data, antibiotics vs F667

## 2025-04-15 19:28:14.075135 INFO::Creating boxplot for categorical data, antibiotics vs F694

## 2025-04-15 19:28:14.25661 INFO::Creating boxplot for categorical data, antibiotics vs F297

## 2025-04-15 19:28:14.44222 INFO::Creating boxplot for categorical data, antibiotics vs F569

## 2025-04-15 19:28:14.638949 INFO::Creating boxplot for categorical data, antibiotics vs F138

## 2025-04-15 19:28:14.828563 INFO::Creating boxplot for categorical data, antibiotics vs F611

## 2025-04-15 19:28:15.017868 INFO::Creating boxplot for categorical data, antibiotics vs F810

## 2025-04-15 19:28:15.198232 INFO::Creating boxplot for categorical data, antibiotics vs F746

## 2025-04-15 19:28:15.380554 INFO::Creating boxplot for categorical data, antibiotics vs F23

## 2025-04-15 19:28:15.567047 INFO::Creating boxplot for categorical data, antibiotics vs F135

## 2025-04-15 19:28:15.758524 INFO::Creating boxplot for categorical data, antibiotics vs F411

## 2025-04-15 19:28:15.940751 INFO::Creating boxplot for categorical data, antibiotics vs F489

## 2025-04-15 19:28:16.123255 INFO::Creating boxplot for categorical data, antibiotics vs F492

## 2025-04-15 19:28:16.309243 INFO::Creating boxplot for categorical data, antibiotics vs F844

## 2025-04-15 19:28:16.497555 INFO::Creating boxplot for categorical data, antibiotics vs F586

## 2025-04-15 19:28:16.690341 INFO::Creating boxplot for categorical data, antibiotics vs F11

## 2025-04-15 19:28:16.875531 INFO::Creating boxplot for categorical data, antibiotics vs F900

## 2025-04-15 19:28:17.064665 INFO::Creating boxplot for categorical data, antibiotics vs F21

## 2025-04-15 19:28:17.254518 INFO::Creating boxplot for categorical data, antibiotics vs F736

## 2025-04-15 19:28:17.455123 INFO::Creating boxplot for categorical data, antibiotics vs F408

## 2025-04-15 19:28:17.640737 INFO::Creating boxplot for categorical data, antibiotics vs F788

## 2025-04-15 19:28:17.825433 INFO::Creating boxplot for categorical data, antibiotics vs F66

## 2025-04-15 19:28:18.013692 INFO::Creating boxplot for categorical data, antibiotics vs F493

## 2025-04-15 19:28:18.19863 INFO::Creating boxplot for categorical data, antibiotics vs F343

## 2025-04-15 19:28:18.387793 INFO::Creating boxplot for categorical data, antibiotics vs F352

## 2025-04-15 19:28:18.568759 INFO::Creating boxplot for categorical data, antibiotics vs F677

## 2025-04-15 19:28:18.753408 INFO::Creating boxplot for categorical data, antibiotics vs F816

## 2025-04-15 19:28:18.940681 INFO::Creating boxplot for categorical data, antibiotics vs F457

## 2025-04-15 19:28:19.136469 INFO::Creating boxplot for categorical data, antibiotics vs F330

## 2025-04-15 19:28:19.316363 INFO::Creating boxplot for categorical data, antibiotics vs F293

## 2025-04-15 19:28:19.494571 INFO::Creating boxplot for categorical data, antibiotics vs F725

## 2025-04-15 19:28:19.679449 INFO::Creating boxplot for categorical data, antibiotics vs F813

## 2025-04-15 19:28:19.869479 INFO::Creating boxplot for categorical data, antibiotics vs F295

## 2025-04-15 19:28:20.062009 INFO::Creating boxplot for categorical data, antibiotics vs F656

## 2025-04-15 19:28:20.242393 INFO::Creating boxplot for categorical data, antibiotics vs F669

## 2025-04-15 19:28:20.42414 INFO::Creating boxplot for categorical data, antibiotics vs F15

## 2025-04-15 19:28:20.60962 INFO::Creating boxplot for categorical data, antibiotics vs F419

## 2025-04-15 19:28:20.809998 INFO::Creating boxplot for categorical data, antibiotics vs F701

## 2025-04-15 19:28:21.000606 INFO::Creating boxplot for categorical data, antibiotics vs F176

## 2025-04-15 19:28:21.194186 INFO::Creating boxplot for categorical data, antibiotics vs F203

## 2025-04-15 19:28:21.385435 INFO::Creating boxplot for categorical data, antibiotics vs F501

## 2025-04-15 19:28:21.581553 INFO::Creating boxplot for categorical data, antibiotics vs F772

## 2025-04-15 19:28:21.772513 INFO::Creating boxplot for categorical data, antibiotics vs F488

## 2025-04-15 19:28:21.952976 INFO::Creating boxplot for categorical data, antibiotics vs F600

## 2025-04-15 19:28:22.136137 INFO::Creating boxplot for categorical data, antibiotics vs F768

## 2025-04-15 19:28:22.322315 INFO::Creating boxplot for categorical data, antibiotics vs F432

## 2025-04-15 19:28:22.520943 INFO::Creating boxplot for categorical data, antibiotics vs F26

## 2025-04-15 19:28:22.702248 INFO::Creating boxplot for categorical data, antibiotics vs F189

## 2025-04-15 19:28:22.88179 INFO::Creating boxplot for categorical data, antibiotics vs F200

## 2025-04-15 19:28:23.069888 INFO::Creating boxplot for categorical data, antibiotics vs F121

## 2025-04-15 19:28:23.260041 INFO::Creating boxplot for categorical data, antibiotics vs F624

## 2025-04-15 19:28:23.457258 INFO::Creating boxplot for categorical data, antibiotics vs F855

## 2025-04-15 19:28:23.63994 INFO::Creating boxplot for categorical data, antibiotics vs F380

## 2025-04-15 19:28:23.824716 INFO::Creating boxplot for categorical data, antibiotics vs F734

## 2025-04-15 19:28:24.009599 INFO::Creating boxplot for categorical data, antibiotics vs F16

## 2025-04-15 19:28:24.202764 INFO::Creating boxplot for categorical data, antibiotics vs F602

## 2025-04-15 19:28:24.388702 INFO::Creating boxplot for categorical data, antibiotics vs F210

## 2025-04-15 19:28:24.574522 INFO::Creating boxplot for categorical data, antibiotics vs F217

## 2025-04-15 19:28:24.762966 INFO::Creating boxplot for categorical data, antibiotics vs F640

## 2025-04-15 19:28:24.960733 INFO::Creating boxplot for categorical data, antibiotics vs F631

## 2025-04-15 19:28:25.1462 INFO::Creating boxplot for categorical data, antibiotics vs F32

## 2025-04-15 19:28:25.32681 INFO::Creating boxplot for categorical data, antibiotics vs F322

## 2025-04-15 19:28:25.512538 INFO::Creating boxplot for categorical data, antibiotics vs F476

## 2025-04-15 19:28:25.697844 INFO::Creating boxplot for categorical data, antibiotics vs F265

## 2025-04-15 19:28:25.893201 INFO::Creating boxplot for categorical data, antibiotics vs F283

## 2025-04-15 19:28:26.074157 INFO::Creating boxplot for categorical data, antibiotics vs F316

## 2025-04-15 19:28:26.260515 INFO::Creating boxplot for categorical data, antibiotics vs F465

## 2025-04-15 19:28:26.446733 INFO::Creating boxplot for categorical data, antibiotics vs F24

## 2025-04-15 19:28:26.645423 INFO::Creating boxplot for categorical data, antibiotics vs F38

## 2025-04-15 19:28:26.826413 INFO::Creating boxplot for categorical data, antibiotics vs F82

## 2025-04-15 19:28:27.006128 INFO::Creating boxplot for categorical data, antibiotics vs F86

## 2025-04-15 19:28:27.192455 INFO::Creating boxplot for categorical data, antibiotics vs F270

## 2025-04-15 19:28:27.38108 INFO::Creating boxplot for categorical data, antibiotics vs F485

## 2025-04-15 19:28:27.57444 INFO::Creating boxplot for categorical data, antibiotics vs F486

## 2025-04-15 19:28:27.760711 INFO::Creating boxplot for categorical data, antibiotics vs F399

## 2025-04-15 19:28:27.942665 INFO::Creating boxplot for categorical data, antibiotics vs F573

## 2025-04-15 19:28:28.128658 INFO::Creating boxplot for categorical data, antibiotics vs F877

## 2025-04-15 19:28:28.323678 INFO::Creating boxplot for categorical data, antibiotics vs F709

## 2025-04-15 19:28:28.504875 INFO::Creating boxplot for categorical data, antibiotics vs F227

## 2025-04-15 19:28:28.689572 INFO::Creating boxplot for categorical data, antibiotics vs F553

## 2025-04-15 19:28:28.8828 INFO::Creating boxplot for categorical data, antibiotics vs F123

## 2025-04-15 19:28:29.105772 INFO::Creating boxplot for categorical data, antibiotics vs F118

## 2025-04-15 19:28:29.288738 INFO::Creating boxplot for categorical data, antibiotics vs F605

## 2025-04-15 19:28:29.469703 INFO::Creating boxplot for categorical data, antibiotics vs F619

## 2025-04-15 19:28:29.65657 INFO::Creating boxplot for categorical data, antibiotics vs F830

## 2025-04-15 19:28:29.842868 INFO::Creating boxplot for categorical data, antibiotics vs F837

## 2025-04-15 19:28:30.047896 INFO::Creating boxplot for categorical data, antibiotics vs F12

## 2025-04-15 19:28:30.231454 INFO::Creating boxplot for categorical data, antibiotics vs F623

## 2025-04-15 19:28:30.410463 INFO::Creating boxplot for categorical data, antibiotics vs F806

## 2025-04-15 19:28:30.595272 INFO::Creating boxplot for categorical data, antibiotics vs F353

## 2025-04-15 19:28:30.785462 INFO::Creating boxplot for categorical data, antibiotics vs F829

## 2025-04-15 19:28:30.990762 INFO::Creating boxplot for categorical data, antibiotics vs F289

## 2025-04-15 19:28:31.174275 INFO::Creating boxplot for categorical data, antibiotics vs F93

## 2025-04-15 19:28:31.362337 INFO::Creating boxplot for categorical data, antibiotics vs F379

## 2025-04-15 19:28:31.548375 INFO::Creating boxplot for categorical data, antibiotics vs F370

## 2025-04-15 19:28:31.746746 INFO::Creating boxplot for categorical data, antibiotics vs F360

## 2025-04-15 19:28:31.928569 INFO::Creating boxplot for categorical data, antibiotics vs F710

## 2025-04-15 19:28:32.108114 INFO::Creating boxplot for categorical data, antibiotics vs F388

## 2025-04-15 19:28:32.291466 INFO::Creating boxplot for categorical data, antibiotics vs F796

## 2025-04-15 19:28:32.479768 INFO::Creating boxplot for categorical data, antibiotics vs F174

## 2025-04-15 19:28:32.681459 INFO::Creating boxplot for categorical data, antibiotics vs F601

## 2025-04-15 19:28:32.85923 INFO::Creating boxplot for categorical data, antibiotics vs F775

## 2025-04-15 19:28:33.040227 INFO::Creating boxplot for categorical data, antibiotics vs F836

## 2025-04-15 19:28:33.227214 INFO::Creating boxplot for categorical data, antibiotics vs F192

## 2025-04-15 19:28:33.427716 INFO::Creating boxplot for categorical data, antibiotics vs F463

## 2025-04-15 19:28:33.609322 INFO::Creating boxplot for categorical data, antibiotics vs F57

## 2025-04-15 19:28:33.786716 INFO::Creating boxplot for categorical data, antibiotics vs F658

## 2025-04-15 19:28:33.969625 INFO::Creating boxplot for categorical data, antibiotics vs F596

## 2025-04-15 19:28:34.150656 INFO::Creating boxplot for categorical data, antibiotics vs F218

## 2025-04-15 19:28:34.351344 INFO::Creating boxplot for categorical data, antibiotics vs F104

## 2025-04-15 19:28:34.534625 INFO::Creating boxplot for categorical data, antibiotics vs F466

## 2025-04-15 19:28:34.719539 INFO::Creating boxplot for categorical data, antibiotics vs F737

## 2025-04-15 19:28:34.903651 INFO::Creating boxplot for categorical data, antibiotics vs F487

## 2025-04-15 19:28:35.104045 INFO::Creating boxplot for categorical data, antibiotics vs F369

## 2025-04-15 19:28:35.286458 INFO::Creating boxplot for categorical data, antibiotics vs F584

## 2025-04-15 19:28:35.463153 INFO::Creating boxplot for categorical data, antibiotics vs F166

## 2025-04-15 19:28:35.646599 INFO::Creating boxplot for categorical data, antibiotics vs F822

## 2025-04-15 19:28:35.831815 INFO::Creating boxplot for categorical data, antibiotics vs F416

## 2025-04-15 19:28:36.035617 INFO::Creating boxplot for categorical data, antibiotics vs F70

## 2025-04-15 19:28:36.220643 INFO::Creating boxplot for categorical data, antibiotics vs F243

## 2025-04-15 19:28:36.404093 INFO::Creating boxplot for categorical data, antibiotics vs F498

## 2025-04-15 19:28:36.592324 INFO::Creating boxplot for categorical data, antibiotics vs F272

## 2025-04-15 19:28:36.793958 INFO::Creating boxplot for categorical data, antibiotics vs F846

## 2025-04-15 19:28:36.974772 INFO::Creating boxplot for categorical data, antibiotics vs F881

## 2025-04-15 19:28:37.150605 INFO::Creating boxplot for categorical data, antibiotics vs F280

## 2025-04-15 19:28:37.332873 INFO::Creating boxplot for categorical data, antibiotics vs F761

## 2025-04-15 19:28:37.515543 INFO::Creating boxplot for categorical data, antibiotics vs F781

## 2025-04-15 19:28:37.715404 INFO::Creating boxplot for categorical data, antibiotics vs F697

## 2025-04-15 19:28:37.895267 INFO::Creating boxplot for categorical data, antibiotics vs F890

## 2025-04-15 19:28:38.075151 INFO::Creating boxplot for categorical data, antibiotics vs F197

## 2025-04-15 19:28:38.260317 INFO::Creating boxplot for categorical data, antibiotics vs F826

## 2025-04-15 19:28:38.464012 INFO::Creating boxplot for categorical data, antibiotics vs F641

## 2025-04-15 19:28:38.65031 INFO::Creating boxplot for categorical data, antibiotics vs F700

## 2025-04-15 19:28:38.827144 INFO::Creating boxplot for categorical data, antibiotics vs F531

## 2025-04-15 19:28:39.010595 INFO::Creating boxplot for categorical data, antibiotics vs F660

## 2025-04-15 19:28:39.19667 INFO::Creating boxplot for categorical data, antibiotics vs F257

## 2025-04-15 19:28:39.398881 INFO::Creating boxplot for categorical data, antibiotics vs F136

## 2025-04-15 19:28:39.581746 INFO::Creating boxplot for categorical data, antibiotics vs F875

## 2025-04-15 19:28:39.765358 INFO::Creating boxplot for categorical data, antibiotics vs F160

## 2025-04-15 19:28:39.949585 INFO::Creating boxplot for categorical data, antibiotics vs F782

## 2025-04-15 19:28:40.152842 INFO::Creating boxplot for categorical data, antibiotics vs F642

## 2025-04-15 19:28:40.33766 INFO::Creating boxplot for categorical data, antibiotics vs F730

## 2025-04-15 19:28:40.516655 INFO::Creating boxplot for categorical data, antibiotics vs F679

## 2025-04-15 19:28:40.700287 INFO::Creating boxplot for categorical data, antibiotics vs F713

## 2025-04-15 19:28:40.88382 INFO::Creating boxplot for categorical data, antibiotics vs F821

## 2025-04-15 19:28:41.088913 INFO::Creating boxplot for categorical data, antibiotics vs F443

## 2025-04-15 19:28:41.27199 INFO::Creating boxplot for categorical data, antibiotics vs F729

## 2025-04-15 19:28:41.455764 INFO::Creating boxplot for categorical data, antibiotics vs F25

## 2025-04-15 19:28:41.640991 INFO::Creating boxplot for categorical data, antibiotics vs F338

## 2025-04-15 19:28:41.84824 INFO::Creating boxplot for categorical data, antibiotics vs F647

## 2025-04-15 19:28:42.037171 INFO::Creating boxplot for categorical data, antibiotics vs F817

## 2025-04-15 19:28:42.219619 INFO::Creating boxplot for categorical data, antibiotics vs F535

## 2025-04-15 19:28:42.410478 INFO::Creating boxplot for categorical data, antibiotics vs F634

## 2025-04-15 19:28:42.59991 INFO::Creating boxplot for categorical data, antibiotics vs F533

## 2025-04-15 19:28:42.802808 INFO::Creating boxplot for categorical data, antibiotics vs F808

## 2025-04-15 19:28:42.984152 INFO::Creating boxplot for categorical data, antibiotics vs F571

## 2025-04-15 19:28:43.164608 INFO::Creating boxplot for categorical data, antibiotics vs F529

## 2025-04-15 19:28:43.350703 INFO::Creating boxplot for categorical data, antibiotics vs F827

## 2025-04-15 19:28:43.55186 INFO::Creating boxplot for categorical data, antibiotics vs F107

## 2025-04-15 19:28:43.733081 INFO::Creating boxplot for categorical data, antibiotics vs F515

## 2025-04-15 19:28:43.913584 INFO::Creating boxplot for categorical data, antibiotics vs F305

## 2025-04-15 19:28:44.102142 INFO::Creating boxplot for categorical data, antibiotics vs F662

## 2025-04-15 19:28:44.307051 INFO::Creating boxplot for categorical data, antibiotics vs F310

## 2025-04-15 19:28:44.493088 INFO::Creating boxplot for categorical data, antibiotics vs F430

## 2025-04-15 19:28:44.670561 INFO::Creating boxplot for categorical data, antibiotics vs F173

## 2025-04-15 19:28:44.854011 INFO::Creating boxplot for categorical data, antibiotics vs F820

## 2025-04-15 19:28:45.039751 INFO::Creating boxplot for categorical data, antibiotics vs F743

## 2025-04-15 19:28:45.238952 INFO::Creating boxplot for categorical data, antibiotics vs F63

## 2025-04-15 19:28:45.41867 INFO::Creating boxplot for categorical data, antibiotics vs F215

## 2025-04-15 19:28:45.597111 INFO::Creating boxplot for categorical data, antibiotics vs F216

## 2025-04-15 19:28:45.785558 INFO::Creating boxplot for categorical data, antibiotics vs F245

## 2025-04-15 19:28:45.993036 INFO::Creating boxplot for categorical data, antibiotics vs F862

## 2025-04-15 19:28:46.172713 INFO::Creating boxplot for categorical data, antibiotics vs F541

## 2025-04-15 19:28:46.353353 INFO::Creating boxplot for categorical data, antibiotics vs F558

## 2025-04-15 19:28:46.536681 INFO::Creating boxplot for categorical data, antibiotics vs F633

## 2025-04-15 19:28:46.78998 INFO::Creating boxplot for categorical data, antibiotics vs F94

## 2025-04-15 19:28:46.976415 INFO::Creating boxplot for categorical data, antibiotics vs F574

## 2025-04-15 19:28:47.161093 INFO::Creating boxplot for categorical data, antibiotics vs F238

## 2025-04-15 19:28:47.352471 INFO::Creating boxplot for categorical data, antibiotics vs F815

## 2025-04-15 19:28:47.54337 INFO::Creating boxplot for categorical data, antibiotics vs F587

## 2025-04-15 19:28:47.74326 INFO::Creating boxplot for categorical data, antibiotics vs F464

## 2025-04-15 19:28:47.92879 INFO::Creating boxplot for categorical data, antibiotics vs F590

## 2025-04-15 19:28:48.11026 INFO::Creating boxplot for categorical data, antibiotics vs F124

## 2025-04-15 19:28:48.295568 INFO::Creating boxplot for categorical data, antibiotics vs F664

## 2025-04-15 19:28:48.477254 INFO::Creating boxplot for categorical data, antibiotics vs F100

## 2025-04-15 19:28:48.6777 INFO::Creating boxplot for categorical data, antibiotics vs F744

## 2025-04-15 19:28:48.859997 INFO::Creating boxplot for categorical data, antibiotics vs F444

## 2025-04-15 19:28:49.045329 INFO::Creating boxplot for categorical data, antibiotics vs F597

## 2025-04-15 19:28:49.230115 INFO::Creating boxplot for categorical data, antibiotics vs F650

## 2025-04-15 19:28:49.425271 INFO::Creating boxplot for categorical data, antibiotics vs F147

## 2025-04-15 19:28:49.608518 INFO::Creating boxplot for categorical data, antibiotics vs F363

## 2025-04-15 19:28:49.789149 INFO::Creating boxplot for categorical data, antibiotics vs F521

## 2025-04-15 19:28:49.97264 INFO::Creating boxplot for categorical data, antibiotics vs F412

## 2025-04-15 19:28:50.156982 INFO::Creating boxplot for categorical data, antibiotics vs F279

## 2025-04-15 19:28:50.363012 INFO::Creating boxplot for categorical data, antibiotics vs F225

## 2025-04-15 19:28:50.547075 INFO::Creating boxplot for categorical data, antibiotics vs F10

## 2025-04-15 19:28:50.73665 INFO::Creating boxplot for categorical data, antibiotics vs F481

## 2025-04-15 19:28:50.919452 INFO::Creating boxplot for categorical data, antibiotics vs F861

## 2025-04-15 19:28:51.117008 INFO::Creating boxplot for categorical data, antibiotics vs F888

## 2025-04-15 19:28:51.301829 INFO::Creating boxplot for categorical data, antibiotics vs F156

## 2025-04-15 19:28:51.481854 INFO::Creating boxplot for categorical data, antibiotics vs F857

## 2025-04-15 19:28:51.667773 INFO::Creating boxplot for categorical data, antibiotics vs F509

## 2025-04-15 19:28:51.851201 INFO::Creating boxplot for categorical data, antibiotics vs F244

## 2025-04-15 19:28:52.054597 INFO::Creating boxplot for categorical data, antibiotics vs F514

## 2025-04-15 19:28:52.237329 INFO::Creating boxplot for categorical data, antibiotics vs F196

## 2025-04-15 19:28:52.419818 INFO::Creating boxplot for categorical data, antibiotics vs F304

## 2025-04-15 19:28:52.603188 INFO::Creating boxplot for categorical data, antibiotics vs F833

## 2025-04-15 19:28:52.804683 INFO::Creating boxplot for categorical data, antibiotics vs F294

## 2025-04-15 19:28:52.991792 INFO::Creating boxplot for categorical data, antibiotics vs F550

## 2025-04-15 19:28:53.175186 INFO::Creating boxplot for categorical data, antibiotics vs F869

## 2025-04-15 19:28:53.360382 INFO::Creating boxplot for categorical data, antibiotics vs F364

## 2025-04-15 19:28:53.548042 INFO::Creating boxplot for categorical data, antibiotics vs F583

## 2025-04-15 19:28:53.74689 INFO::Creating boxplot for categorical data, antibiotics vs F441

## 2025-04-15 19:28:53.935219 INFO::Creating boxplot for categorical data, antibiotics vs F595

## 2025-04-15 19:28:54.119508 INFO::Creating boxplot for categorical data, antibiotics vs F35

## 2025-04-15 19:28:54.306088 INFO::Creating boxplot for categorical data, antibiotics vs F630

## 2025-04-15 19:28:54.505052 INFO::Creating boxplot for categorical data, antibiotics vs F401

## 2025-04-15 19:28:54.6925 INFO::Creating boxplot for categorical data, antibiotics vs F287

## 2025-04-15 19:28:54.875158 INFO::Creating boxplot for categorical data, antibiotics vs F250

## 2025-04-15 19:28:55.061455 INFO::Creating boxplot for categorical data, antibiotics vs F239

## 2025-04-15 19:28:55.247487 INFO::Creating boxplot for categorical data, antibiotics vs F88

## 2025-04-15 19:28:55.44822 INFO::Creating boxplot for categorical data, antibiotics vs F752

## 2025-04-15 19:28:55.634656 INFO::Creating boxplot for categorical data, antibiotics vs F539

## 2025-04-15 19:28:55.819572 INFO::Creating boxplot for categorical data, antibiotics vs F69

## 2025-04-15 19:28:56.004859 INFO::Creating boxplot for categorical data, antibiotics vs F126

## 2025-04-15 19:28:56.203743 INFO::Creating boxplot for categorical data, antibiotics vs F362

## 2025-04-15 19:28:56.390528 INFO::Creating boxplot for categorical data, antibiotics vs F753

## 2025-04-15 19:28:56.573912 INFO::Creating boxplot for categorical data, antibiotics vs F469

## 2025-04-15 19:28:56.760585 INFO::Creating boxplot for categorical data, antibiotics vs F14

## 2025-04-15 19:28:56.943583 INFO::Creating boxplot for categorical data, antibiotics vs F803

## 2025-04-15 19:28:57.140005 INFO::Creating boxplot for categorical data, antibiotics vs F814

## 2025-04-15 19:28:57.320912 INFO::Creating boxplot for categorical data, antibiotics vs F449

## 2025-04-15 19:28:57.502421 INFO::Creating boxplot for categorical data, antibiotics vs F494

## 2025-04-15 19:28:57.685594 INFO::Creating boxplot for categorical data, antibiotics vs F439

## 2025-04-15 19:28:57.883971 INFO::Creating boxplot for categorical data, antibiotics vs F686

## 2025-04-15 19:28:58.067911 INFO::Creating boxplot for categorical data, antibiotics vs F591

## 2025-04-15 19:28:58.247884 INFO::Creating boxplot for categorical data, antibiotics vs F735

## 2025-04-15 19:28:58.429848 INFO::Creating boxplot for categorical data, antibiotics vs F111

## 2025-04-15 19:28:58.613619 INFO::Creating boxplot for categorical data, antibiotics vs F346

## 2025-04-15 19:28:58.81352 INFO::Creating boxplot for categorical data, antibiotics vs F29

## 2025-04-15 19:28:59.000349 INFO::Creating boxplot for categorical data, antibiotics vs F376

## 2025-04-15 19:28:59.184208 INFO::Creating boxplot for categorical data, antibiotics vs F414

## 2025-04-15 19:28:59.368175 INFO::Creating boxplot for categorical data, antibiotics vs F555

## 2025-04-15 19:28:59.567571 INFO::Creating boxplot for categorical data, antibiotics vs F517

## 2025-04-15 19:28:59.752293 INFO::Creating boxplot for categorical data, antibiotics vs F544

## 2025-04-15 19:28:59.935672 INFO::Creating boxplot for categorical data, antibiotics vs F339

## 2025-04-15 19:29:00.121026 INFO::Creating boxplot for categorical data, antibiotics vs F689

## 2025-04-15 19:29:00.319495 INFO::Creating boxplot for categorical data, antibiotics vs F391

## 2025-04-15 19:29:00.505265 INFO::Creating boxplot for categorical data, antibiotics vs F502

## 2025-04-15 19:29:00.687536 INFO::Creating boxplot for categorical data, antibiotics vs F298

## 2025-04-15 19:29:00.872725 INFO::Creating boxplot for categorical data, antibiotics vs F337

## 2025-04-15 19:29:01.058969 INFO::Creating boxplot for categorical data, antibiotics vs F773

## 2025-04-15 19:29:01.25758 INFO::Creating boxplot for categorical data, antibiotics vs F592

## 2025-04-15 19:29:01.439429 INFO::Creating boxplot for categorical data, antibiotics vs F307

## 2025-04-15 19:29:01.619822 INFO::Creating boxplot for categorical data, antibiotics vs F115

## 2025-04-15 19:29:01.81769 INFO::Creating boxplot for categorical data, antibiotics vs F739

## 2025-04-15 19:29:02.034623 INFO::Creating boxplot for categorical data, antibiotics vs F433

## 2025-04-15 19:29:02.223274 INFO::Creating boxplot for categorical data, antibiotics vs F384

## 2025-04-15 19:29:02.411672 INFO::Creating boxplot for categorical data, antibiotics vs F750

## 2025-04-15 19:29:02.602034 INFO::Creating boxplot for categorical data, antibiotics vs F762

## 2025-04-15 19:29:02.790625 INFO::Creating boxplot for categorical data, antibiotics vs F277

## 2025-04-15 19:29:02.992338 INFO::Creating boxplot for categorical data, antibiotics vs F871

## 2025-04-15 19:29:03.175733 INFO::Creating boxplot for categorical data, antibiotics vs F839

## 2025-04-15 19:29:03.368232 INFO::Creating boxplot for categorical data, antibiotics vs F127

## 2025-04-15 19:29:03.562182 INFO::Creating boxplot for categorical data, antibiotics vs F554

## 2025-04-15 19:29:03.76466 INFO::Creating boxplot for categorical data, antibiotics vs F676

## 2025-04-15 19:29:03.951026 INFO::Creating boxplot for categorical data, antibiotics vs F568

## 2025-04-15 19:29:04.135607 INFO::Creating boxplot for categorical data, antibiotics vs F137

## 2025-04-15 19:29:04.321436 INFO::Creating boxplot for categorical data, antibiotics vs F131

## 2025-04-15 19:29:04.571399 INFO::Creating boxplot for categorical data, antibiotics vs F60

## 2025-04-15 19:29:04.765246 INFO::Creating boxplot for categorical data, antibiotics vs F98

## 2025-04-15 19:29:04.954305 INFO::Creating boxplot for categorical data, antibiotics vs F672

## 2025-04-15 19:29:05.14819 INFO::Creating boxplot for categorical data, antibiotics vs F530

## 2025-04-15 19:29:05.340363 INFO::Creating boxplot for categorical data, antibiotics vs F809

## 2025-04-15 19:29:05.561793 INFO::Creating boxplot for categorical data, antibiotics vs F894

## 2025-04-15 19:29:05.753477 INFO::Creating boxplot for categorical data, antibiotics vs F22

## 2025-04-15 19:29:05.944057 INFO::Creating boxplot for categorical data, antibiotics vs F818

## 2025-04-15 19:29:06.132986 INFO::Creating boxplot for categorical data, antibiotics vs F559

## 2025-04-15 19:29:06.347651 INFO::Creating boxplot for categorical data, antibiotics vs F741

## 2025-04-15 19:29:06.559913 INFO::Creating boxplot for categorical data, antibiotics vs F398

## 2025-04-15 19:29:06.754141 INFO::Creating boxplot for categorical data, antibiotics vs F357

## 2025-04-15 19:29:06.95629 INFO::Creating boxplot for categorical data, antibiotics vs F119

## 2025-04-15 19:29:07.142975 INFO::Creating boxplot for categorical data, antibiotics vs F426

## 2025-04-15 19:29:07.356104 INFO::Creating boxplot for categorical data, antibiotics vs F204

## 2025-04-15 19:29:07.543332 INFO::Creating boxplot for categorical data, antibiotics vs F851

## 2025-04-15 19:29:07.73042 INFO::Creating boxplot for categorical data, antibiotics vs F657

## 2025-04-15 19:29:07.916666 INFO::Creating boxplot for categorical data, antibiotics vs F801

## 2025-04-15 19:29:08.104763 INFO::Creating boxplot for categorical data, antibiotics vs F754

## 2025-04-15 19:29:08.317827 INFO::Creating boxplot for categorical data, antibiotics vs F859

## 2025-04-15 19:29:08.506074 INFO::Creating boxplot for categorical data, antibiotics vs F480

## 2025-04-15 19:29:08.692354 INFO::Creating boxplot for categorical data, antibiotics vs F507

## 2025-04-15 19:29:08.876558 INFO::Creating boxplot for categorical data, antibiotics vs F207

## 2025-04-15 19:29:11.358545 INFO::Plotting data for metadata number 3, age
## 2025-04-15 19:29:11.360787 INFO::Creating scatter plot for continuous data, age vs F340

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:11.631508 INFO::Creating scatter plot for continuous data, age vs F603

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:11.913179 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 19:29:12.114232 INFO::Creating scatter plot for continuous data, age vs F181

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:12.325727 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 19:29:12.524111 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 19:29:12.721041 INFO::Creating scatter plot for continuous data, age vs F743

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:12.905775 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 19:29:13.135578 INFO::Creating scatter plot for continuous data, age vs F436

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:13.318856 INFO::Creating scatter plot for continuous data, age vs F219

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:13.504092 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 19:29:13.703055 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 19:29:13.924411 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 19:29:14.134945 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 19:29:14.337393 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 19:29:14.536314 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 19:29:14.767442 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 19:29:14.970405 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 19:29:15.178542 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 19:29:15.38089 INFO::Creating scatter plot for continuous data, age vs F174

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:15.585547 INFO::Creating scatter plot for continuous data, age vs F17

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:15.772766 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 19:29:15.996943 INFO::Creating scatter plot for continuous data, age vs F835

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:16.196245 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 19:29:16.43216 INFO::Creating scatter plot for continuous data, age vs F383

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:16.613013 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 19:29:16.814364 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 19:29:17.016914 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 19:29:17.247855 INFO::Creating scatter plot for continuous data, age vs F528

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:17.431882 INFO::Creating scatter plot for continuous data, age vs F13

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:17.615894 INFO::Creating scatter plot for continuous data, age vs F36

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:17.801812 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 19:29:18.032686 INFO::Creating scatter plot for continuous data, age vs F404

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:18.226784 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 19:29:18.430837 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 19:29:18.63947 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 19:29:18.886226 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 19:29:19.084024 INFO::Creating scatter plot for continuous data, age vs F97

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:19.266365 INFO::Creating scatter plot for continuous data, age vs F849

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:19.454859 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 19:29:19.675488 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 19:29:19.873052 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 19:29:20.079005 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 19:29:20.281943 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 19:29:20.522417 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 19:29:20.726047 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 19:29:20.927469 INFO::Creating scatter plot for continuous data, age vs F496

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:21.133936 INFO::Creating scatter plot for continuous data, age vs F386

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:21.332469 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 19:29:21.529247 INFO::Creating scatter plot for continuous data, age vs F704

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:21.712375 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 19:29:21.927771 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 19:29:22.131598 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 19:29:22.327632 INFO::Creating scatter plot for continuous data, age vs F481

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:22.510942 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 19:29:22.792574 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 19:29:22.991929 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 19:29:23.192447 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 19:29:23.39746 INFO::Creating scatter plot for continuous data, age vs F82

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:23.599164 INFO::Creating scatter plot for continuous data, age vs F7

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:23.782683 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 19:29:23.98427 INFO::Creating scatter plot for continuous data, age vs F593

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:24.178047 INFO::Creating scatter plot for continuous data, age vs F733

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:24.363266 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 19:29:24.605869 INFO::Creating scatter plot for continuous data, age vs F410

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:24.799766 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 19:29:25.013381 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 19:29:25.215396 INFO::Creating scatter plot for continuous data, age vs F856

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:25.432546 INFO::Creating scatter plot for continuous data, age vs F680

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:25.623454 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 19:29:25.831661 INFO::Creating scatter plot for continuous data, age vs F860

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:26.014006 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 19:29:26.231525 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 19:29:26.43481 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 19:29:26.64831 INFO::Creating scatter plot for continuous data, age vs F899

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:26.832627 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 19:29:27.062342 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 19:29:27.264839 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 19:29:27.474652 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 19:29:27.68367 INFO::Creating scatter plot for continuous data, age vs F345

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:27.905393 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 19:29:28.109313 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 19:29:28.322492 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 19:29:28.520047 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 19:29:28.73692 INFO::Creating scatter plot for continuous data, age vs F752

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:28.922619 INFO::Creating scatter plot for continuous data, age vs F848

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:29.114432 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 19:29:29.319378 INFO::Creating scatter plot for continuous data, age vs F751

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:29.521542 INFO::Creating scatter plot for continuous data, age vs F15

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:29.704401 INFO::Creating scatter plot for continuous data, age vs F521

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:29.893151 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 19:29:30.094918 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 19:29:30.320269 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 19:29:30.538349 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 19:29:30.771908 INFO::Creating scatter plot for continuous data, age vs F241

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:30.965612 INFO::Creating scatter plot for continuous data, age vs F582

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:31.181378 INFO::Creating scatter plot for continuous data, age vs F822

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:31.368545 INFO::Creating scatter plot for continuous data, age vs F748

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:31.559237 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 19:29:31.76264 INFO::Creating scatter plot for continuous data, age vs F16

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:31.967414 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 19:29:32.17064 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 19:29:32.380456 INFO::Creating scatter plot for continuous data, age vs F663

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:32.575646 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 19:29:32.816741 INFO::Creating scatter plot for continuous data, age vs F865

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:33.007221 INFO::Creating scatter plot for continuous data, age vs F421

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:33.197598 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 19:29:33.403382 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 19:29:33.631492 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 19:29:33.841059 INFO::Creating scatter plot for continuous data, age vs F123

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.031913 INFO::Creating scatter plot for continuous data, age vs F566

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.219803 INFO::Creating scatter plot for continuous data, age vs F370

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.427133 INFO::Creating scatter plot for continuous data, age vs F65

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.61533 INFO::Creating scatter plot for continuous data, age vs F119

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.805496 INFO::Creating scatter plot for continuous data, age vs F263

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:34.99184 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 19:29:35.216258 INFO::Creating scatter plot for continuous data, age vs F628

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:35.404367 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 19:29:35.609051 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 19:29:35.815704 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 19:29:36.039756 INFO::Creating scatter plot for continuous data, age vs F575

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:36.224243 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 19:29:36.454936 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 19:29:36.670381 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 19:29:36.910665 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 19:29:37.128347 INFO::Creating scatter plot for continuous data, age vs F504

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:37.315907 INFO::Creating scatter plot for continuous data, age vs F34

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:37.498873 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 19:29:37.723647 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 19:29:37.922647 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 19:29:38.125125 INFO::Creating scatter plot for continuous data, age vs F673

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:38.31637 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 19:29:38.541188 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 19:29:38.747993 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 19:29:38.96451 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 19:29:39.173009 INFO::Creating scatter plot for continuous data, age vs F40

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:39.383979 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 19:29:39.591659 INFO::Creating scatter plot for continuous data, age vs F643

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:39.807512 INFO::Creating scatter plot for continuous data, age vs F759

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:39.995164 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 19:29:40.25924 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 19:29:40.456435 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 19:29:40.663143 INFO::Creating scatter plot for continuous data, age vs F101

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:40.849552 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 19:29:41.086558 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 19:29:41.293398 INFO::Creating scatter plot for continuous data, age vs F95

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:41.490442 INFO::Creating scatter plot for continuous data, age vs F775

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:41.683654 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 19:29:41.91814 INFO::Creating scatter plot for continuous data, age vs F353

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:42.1015 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 19:29:42.326895 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 19:29:42.555302 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 19:29:42.800727 INFO::Creating scatter plot for continuous data, age vs F295

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:42.986663 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 19:29:43.198754 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 19:29:43.399749 INFO::Creating scatter plot for continuous data, age vs F146

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:43.609836 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 19:29:43.812294 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 19:29:44.018586 INFO::Creating scatter plot for continuous data, age vs F443

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:44.209964 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 19:29:44.451206 INFO::Creating scatter plot for continuous data, age vs F864

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-15 19:29:44.63919 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 19:29:44.846235 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 19:29:45.050683 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 19:29:47.651758 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2025-04-15 19:29:47.660096 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2025-04-15 19:29:47.68244 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 beta (2025-04-02 r88102)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.2 LTS
## 
## Matrix products: default
## BLAS:   /home/biocbuild/bbs-3.22-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_1.13.0             SummarizedExperiment_1.39.0
##  [3] Biobase_2.69.0              GenomicRanges_1.61.0       
##  [5] GenomeInfoDb_1.45.0         IRanges_2.43.0             
##  [7] S4Vectors_0.47.0            BiocGenerics_0.55.0        
##  [9] generics_0.1.3              MatrixGenerics_1.21.0      
## [11] matrixStats_1.5.0           BiocStyle_2.37.0           
## 
## 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_0.49.0          labeling_0.4.3         
##  [19] rmarkdown_2.29          UCSC.utils_1.5.0        preprocessCore_1.71.0  
##  [22] bit_4.6.0               xfun_0.52               cachem_1.1.0           
##  [25] jsonlite_2.0.0          blob_1.2.4              DelayedArray_0.35.0    
##  [28] BiocParallel_1.43.0     psych_2.5.3             Maaslin2_1.23.0        
##  [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_1.49.0         evaluate_1.0.3         
##  [61] foreign_0.8-90          survival_3.8-3          getopt_1.20.4          
##  [64] Biostrings_2.77.0       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_1.83.0           AnnotationDbi_1.71.0    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_1.9.0         
##  [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_1.9.0      
## [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