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statVisual  

Statistical Visualization Tools
View on CRAN: Click here


Download and install statVisual package within the R console
Install from CRAN:
install.packages("statVisual")

Install from Github:
library("remotes")
install_github("cran/statVisual")

Install by package version:
library("remotes")
install_version("statVisual", "1.2.1")



Attach the package and use:
library("statVisual")
Maintained by
Wenfei Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-15
Latest Update:
Description:
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.
How to cite:
Wenfei Zhang (2019). statVisual: Statistical Visualization Tools. R package version 1.2.1, https://cran.r-project.org/web/packages/statVisual. Accessed 07 Jun. 2026.
Previous versions and publish date:
1.0.5 (2019-03-15 17:30), 1.0.9 (2019-04-16 21:22), 1.1.8 (2019-06-03 16:10), 1.1.9 (2019-12-15 17:30), 1.2.1 (2020-02-20 20:30)
Other packages that cited statVisual R package
View statVisual citation profile
Other R packages that statVisual depends, imports, suggests or enhances
Complete documentation for statVisual
Functions, R codes and Examples using the statVisual R package
Some associated functions: BiAxisErrBar . Box . BoxROC . Den . Dendro . ErrBar . Heat . Hist . ImpPlot . LinePlot . PCA_score . PVCA . Volcano . XYscatter . barPlot . cv_glmnet_plot . diffCorDat . esSim . genoSim . iprcomp . longDat . stackedBarPlot . statVisual . 
Some associated R codes: BiAxisErrBar.R . barPlot.R . iprcomp.R . stackedBarPlot.R . statVisual.R .  Full statVisual package functions and examples
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