SubgrPlots: Graphical Displays for Subgroup Analysis in Clinical Trials

Provides functions for obtaining a variety of graphical displays that may be useful in the subgroup analysis setting. An example with a prostate cancer dataset is provided. The graphical techniques considered include level plots, mosaic plots, contour plots, bar charts, Venn diagrams, tree plots, forest plots, Galbraith plots, L'Abbé plots, the subpopulation treatment effect pattern plot, alluvial plots, circle plots and UpSet plots.

Version: 0.1.3
Depends: R (≥ 2.10), graphics
Imports: alluvial, circlize, colorspace, diagram, dplyr, ggplot2 (≥ 2.1.1), ggrepel, grid, gridBase, gridExtra, methods, plyr, polyclip, scales, shape, sp, survRM2, survival, UpSetR, VennDiagram
Suggests: knitr, rmarkdown, rgeos
Published: 2020-01-29
Author: Nicolas Ballarini [aut, cre], Yi-Da Chiu [aut], Jake Conway [ctb], Nils Gehlenborg [ctb], Michal Bojanowski [ctb], Robin Edwards [ctb]
Maintainer: Nicolas Ballarini <nicoballarini at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: SubgrPlots results

Downloads:

Reference manual: SubgrPlots.pdf
Vignettes: SubgrPlots package
Package source: SubgrPlots_0.1.3.tar.gz
Windows binaries: r-devel: SubgrPlots_0.1.3.zip, r-release: SubgrPlots_0.1.3.zip, r-oldrel: SubgrPlots_0.1.3.zip
macOS binaries: r-release: SubgrPlots_0.1.3.tgz, r-oldrel: SubgrPlots_0.1.3.tgz
Old sources: SubgrPlots archive

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