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 |
| 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 |
| macOS binaries: | r-release: quantable_0.3.6.tgz, r-oldrel: quantable_0.3.6.tgz |
| Old sources: | quantable archive |
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