fastStat: 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.

Version: 1.3
Imports: set, reshape2, do, plyr, car, e1071, tseries, survival, ggplot2, ggrepel
Published: 2019-11-22
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: fastStat results


Reference manual: fastStat.pdf
Package source: fastStat_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: fastStat_1.3.tgz, r-oldrel: fastStat_1.3.tgz

Reverse dependencies:

Reverse imports: ggrisk


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