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svplots (version 0.1.0)

Sample Variance Plots (Sv-Plots)

Description

Two versions of sample variance plots, Sv-plot1 and Sv-plot2, will be provided illustrating the squared deviations from sample variance. Besides indicating the contribution of squared deviations for the sample variability, these plots are capable of detecting characteristics of the distribution such as symmetry, skewness and outliers. A remarkable graphical method based on Sv-plot2 can determine the decision on testing hypotheses over one or two population means. In sum, Sv-plots will be appealing visualization tools. Complete description of this methodology can be found in the article, Wijesuriya (2020) .

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Version

Install

install.packages('svplots')

Monthly Downloads

142

Version

0.1.0

License

GPL-3

Maintainer

Uditha Wijesuriya

Last Published

April 7th, 2021

Functions in svplots (0.1.0)

svplot2

Creates Sv-plot2, the second version of the sample variance plots.
test1mu

Tests the hypothesis over population mean based on one sample by Sv-plot2.
test2mu

Tests the hypothesis over two population means based on two samples by Sv-plot2.
test1musm

Tests the hypothesis over population mean based on one sample summary statistics by Sv-plot2.
test2musm

Tests the hypothesis over two population means based on two samples summary statistics by Sv-plot2.
svplot1

Creates Sv-plot1, the first version of the sample variance plots.