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svplots
View on CRAN: Click
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Download and install svplots package within the R console
Install from CRAN:
install.packages("svplots")
Install from Github:
library("remotes")
install_github("cran/svplots")
Install by package version:
library("remotes")
install_version("svplots", "0.1.0")
Attach the package and use:
library("svplots")
Maintained by
Uditha Amarananda Wijesuriya
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-07
Latest Update: 2021-04-07
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) <doi:10.1080/03610918.2020.1851716>.
How to cite:
Uditha Amarananda Wijesuriya (2021). svplots: Sample Variance Plots (Sv-Plots). R package version 0.1.0, https://cran.r-project.org/web/packages/svplots. Accessed 18 Feb. 2025.
Previous versions and publish date:
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Complete documentation for svplots
Functions, R codes and Examples using
the svplots R package
Some associated functions: svplot1 . svplot2 . test1mu . test1musm . test2mu . test2musm .
Some associated R codes: Svplot1fg.R . Svplot2fg.R . TestOneMuSmfg.R . TestOneMufg.R . TestTwoMuSmfg.R . TestTwoMufg.R . Full svplots package functions and examples
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