Package: easyDes 6.0

easyDes: An Easy Way to Descriptive Analysis

Descriptive analysis is essential for publishing medical articles. This package provides an easy way to conduct the descriptive analysis. 1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test. 2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables. 3. T test, ANOVA or Fisher test can be forced to apply. 4. Mean and standard deviation can be forced to display.

Authors:Zhicheng Du, Yuantao Hao

easyDes_6.0.tar.gz
easyDes_6.0.zip(r-4.7)easyDes_6.0.zip(r-4.6)easyDes_6.0.zip(r-4.5)
easyDes_6.0.tgz(r-4.6-any)easyDes_6.0.tgz(r-4.5-any)
easyDes_6.0.tar.gz(r-4.7-any)easyDes_6.0.tar.gz(r-4.6-any)
easyDes_6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
easyDes/json (API)

# Install 'easyDes' in R:
install.packages('easyDes', repos = c('https://marsdu1989.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 223 downloads 1 exports 22 dependencies

Last updated from:ecbf069153. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK149
linux-release-x86_64OK137
macos-release-arm64OK82
macos-oldrel-arm64OK92
windows-develOK88
windows-releaseOK93
windows-oldrelOK98
wasm-releaseOK99

Exports:easyDes

Dependencies:BWStestcachemcodetoolsfastmapgmpkSampleslatticeMASSMatrixmemoisemultcompmultcompViewmvtnormPMCMRplusRcpprlangRmpfrsandwichSuppDistssurvivalTH.datazoo