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.


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install.packages("statVisual")

1.0.5 by Wenfei Zhang, 12 days ago


Browse source code at https://github.com/cran/statVisual


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