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.


Reference manual

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1.0.5 by Wenfei Zhang, 12 days ago

Browse source code at

Authors: Wenfei Zhang [aut, cre] , Weiliang Qiu [aut, ctb] , Xuan Lin [aut, ctb] , Donghui Zhang [aut, ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports GGally, gplots, dplyr, reshape2, ggdendro, tibble, ggfortify, ggrepel, gbm, forestplot, rpart.plot, grDevices, gridExtra, pROC, factoextra, methods, pvca, limma, randomForest, glmnet, knitr, rmarkdown

Depends on Biobase, ggplot2, stats

See at CRAN