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.

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Description file content

Package
quantable
Type
Package
Title
Streamline Descriptive Analysis of Quantitative Data Matrices
Version
0.3.6
Date
2018-04-14
Author
Witold Wolski
Maintainer
Witold Wolski
Depends
R (>= 3.1.0)
Description
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.
License
GPL-3
LazyData
TRUE
Imports
Matrix, RColorBrewer, caret, dplyr, e1071, ggplot2, ggrepel, gplots, readr, reshape2, rlang, plyr, pROC, scales, stringr, tibble, tidyr
URL
BugReports
https://github.com/protViz/quantable/issues
Repository
CRAN
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-05-15 17:05:08 UTC; wolski
Date/Publication
2018-05-15 21:03:41 UTC

install.packages('quantable')

0.3.6

6 months ago

https://github.com/protViz/quantable

Witold Wolski

GPL-3

Depends on

R (>= 3.1.0)

Imports

Matrix, RColorBrewer, caret, dplyr, e1071, ggplot2, ggrepel, gplots, readr, reshape2, rlang, plyr, pROC, scales, stringr, tibble, tidyr

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