EpipwR.data

This is the released version of EpipwR.data; for the devel version, see EpipwR.data.

EpipwR.data: Reference data for EpipwR

Bioconductor version: Release (3.23)

This package provides reference data for EpipwR. EpipwR is a fast and efficient power analysis for continuous and binary phenotypes of epigenomic-wide association studies. This package is only meant to be used in conjunction with EpipwR.

Author: Jackson Barth [aut, cre] ORCID: 0009-0009-6307-9928 , Austin Reynolds [aut]

Maintainer: Jackson Barth <Jackson_Barth at Baylor.edu>

Citation (from within R, enter citation("EpipwR.data")):

Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EpipwR.data")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EpipwR.data")

EpipwR.data: Reference data for EpipwR	HTML	R Script
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, ExperimentHub, MethylationArrayData, MicroarrayData, Tissue, TissueMicroarrayData
Version	1.6.0
License	Artistic-2.0
Depends
Imports	ExperimentHub
System Requirements
URL	https://github.com/jbarth216/EpipwR.data
Bug Reports	https://github.com/jbarth216/EpipwR.data

Suggests	knitr, rmarkdown, sessioninfo
Linking To
Enhances
Depends On Me
Imports Me	EpipwR
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	EpipwR.data_1.6.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/EpipwR.data
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/EpipwR.data
Package Short Url	https://bioconductor.org/packages/EpipwR.data/
Package Downloads Report	Download Stats