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-4.5)easyDes_6.0.zip(r-4.4)easyDes_6.0.zip(r-4.3)
easyDes_6.0.tgz(r-4.4-any)easyDes_6.0.tgz(r-4.3-any)
easyDes_6.0.tar.gz(r-4.5-noble)easyDes_6.0.tar.gz(r-4.4-noble)
easyDes_6.0.tgz(r-4.4-emscripten)easyDes_6.0.tgz(r-4.3-emscripten)
easyDes.pdf |easyDes.html✨
easyDes/json (API)

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

1 exports 0.00 score 22 dependencies 1 scripts 247 downloads

Last updated 3 years agofrom:ecbf069153. Checks:OK: 7. Indexed: yes.

Exports:easyDes

Dependencies:BWStestcachemcodetoolsfastmapgmpkSampleslatticeMASSMatrixmemoisemultcompmultcompViewmvtnormPMCMRplusRcpprlangRmpfrsandwichSuppDistssurvivalTH.datazoo