Faster for Statistic Work

When we do statistic work, we need to see the structure of the data. list.str() function will help you see the structure of the data quickly. list.plot() function can help you check every variable in your dataframe. table_one() function will make it easy to make a baseline table including difference tests. uv_linear(), uv_logit(), uv_cox(), uv_logrank() will give you a hand to do univariable regression analysis, while mv_linear(), mv_logit() and mv_cox() will carry out multivariable regression analysis.


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install.packages("fastStat")

1.3 by Jing Zhang, 13 days ago


https://github.com/yikeshu0611/fastStat


Report a bug at https://github.com/yikeshu0611/fastStat/issues


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


Authors: Jing Zhang [aut, cre] , Zhi Jin [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports set, reshape2, do, plyr, car, e1071, tseries, survival, ggplot2, ggrepel


See at CRAN