statVisual: Statistical Visualization Tools

Visualization functions in the applications of translational medicine (TM) and biomarker (BM) development to compare groups by statistically visualizing data and/or results of analyses, such as visualizing data by displaying in one figure different groups' histograms, boxplots, densities, scatter plots, error-bar plots, or trajectory plots, by displaying scatter plots of top principal components or dendrograms with data points colored based on group information, or visualizing volcano plots to check the results of whole genome analyses for gene differential expression.

Version: 1.0.5
Depends: R (≥ 3.5.0), Biobase, ggplot2, stats
Imports: GGally, gplots, dplyr, reshape2, ggdendro, tibble, ggfortify, ggrepel, gbm, forestplot, rpart.plot, grDevices, gridExtra, pROC, factoextra, methods, pvca, limma, randomForest, glmnet, knitr, rmarkdown
Published: 2019-03-15
Author: Wenfei Zhang [aut, cre], Weiliang Qiu [aut, ctb], Xuan Lin [aut, ctb], Donghui Zhang [aut, ctb]
Maintainer: Wenfei Zhang <Wenfei.Zhang at sanofi.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: statVisual results

Downloads:

Reference manual: statVisual.pdf
Vignettes: Introduction to statVisual
Package source: statVisual_1.0.5.tar.gz
Windows binaries: r-devel: statVisual_1.0.5.zip, r-release: statVisual_1.0.5.zip, r-oldrel: not available
OS X binaries: r-release: not available, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=statVisual to link to this page.