quantable: Streamline Descriptive Analysis of Quantitative Data Matrices

Methods which streamline the descriptive analysis of quantitative matrices. Matrix columns are samples while rows are features i.e. proteins, genes. Includes methods for visualization (e.g. Heatmaps, Volcanos, pairwise QQ, Bland-Altman plot), summary statistics (e.g. CV), data normalization methods (e.g. robustscale). Read function for Progenesis.

Version: 0.3.6
Depends: R (≥ 3.1.0)
Imports: Matrix, RColorBrewer, caret, dplyr, e1071, ggplot2, ggrepel, gplots, readr, reshape2, rlang, plyr, pROC, scales, stringr, tibble, tidyr
Published: 2018-05-15
Author: Witold Wolski
Maintainer: Witold Wolski <wewolski at gmail.com>
BugReports: https://github.com/protViz/quantable/issues
License: GPL-3
URL: https://github.com/protViz/quantable
NeedsCompilation: no
CRAN checks: quantable results

Downloads:

Reference manual: quantable.pdf
Package source: quantable_0.3.6.tar.gz
Windows binaries: r-devel: quantable_0.3.6.zip, r-release: quantable_0.3.6.zip, r-oldrel: quantable_0.3.6.zip
OS X binaries: r-release: quantable_0.3.6.tgz, r-oldrel: quantable_0.2.2.tgz
Old sources: quantable archive

Reverse dependencies:

Reverse imports: diceR

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