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.


Reference manual

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1.4 by Jing Zhang, 10 months ago

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Browse source code at

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, PredictABEL, survIDINRI

Depends on survC1

Suggests rms

Imported by ggrisk.

See at CRAN