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easyDes  

An Easy Way to Descriptive Analysis
View on CRAN: Click here


Download and install easyDes package within the R console
Install from CRAN:
install.packages("easyDes")

Install from Github:
library("remotes")
install_github("cran/easyDes")

Install by package version:
library("remotes")
install_version("easyDes", "6.0")



Attach the package and use:
library("easyDes")
Maintained by
Zhicheng Du
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-03
Latest Update: 2021-11-19
Description:
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.
How to cite:
Zhicheng Du (2017). easyDes: An Easy Way to Descriptive Analysis. R package version 6.0, https://cran.r-project.org/web/packages/easyDes
Previous versions and publish date:
1.0 (2017-01-03 18:33), 2.0 (2017-03-27 15:59), 3.0 (2017-04-11 23:14), 4.0 (2018-07-17 19:50), 5.0 (2019-02-25 14:10)
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Functions, R codes and Examples using the easyDes R package
Some associated functions: easyDes . 
Some associated R codes: easyDes.R .  Full easyDes package functions and examples
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