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DescriptiveWH  

Descriptive Statistics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DescriptiveWH", "1.0.3")



Attach the package and use:
library("DescriptiveWH")
Maintained by
William Herrera-Caceres
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-16
Latest Update: 2021-06-17
Description:
Exploratory analysis of a data base. Using the functions of this package is possible to filter the data set detecting atypical values (outliers) and to perform exploratory analysis through visual inspection or dispersion measures. With this package you can explore the structure of your data using several parameters at the same time joining statistical parameters with different graphics. Finally, this package aid to confirm or reject the hypothesis that your data structure presents a normal distribution. Therefore this package is useful to get a previous insight of your data before to carry out statistical analysis.
How to cite:
William Herrera-Caceres (2021). DescriptiveWH: Descriptive Statistics. R package version 1.0.3, https://cran.r-project.org/web/packages/DescriptiveWH. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.0.1 (2021-03-16 10:00), 1.0.2 (2021-06-13 11:50), (2026-07-09 08:02)
Other packages that cited DescriptiveWH R package
View DescriptiveWH citation profile
Other R packages that DescriptiveWH depends, imports, suggests or enhances
Complete documentation for DescriptiveWH
Functions, R codes and Examples using the DescriptiveWH R package
Some associated functions: destatWH . distrWH . freqWH . meanWH . outlierWH . 
Some associated R codes: destatWH.R . distrWH.R . freqWH.R . meanWH.R . outlierWH.R .  Full DescriptiveWH package functions and examples
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