Package: svplots 0.1.0
Uditha Amarananda Wijesuriya
svplots: Sample Variance Plots (Sv-Plots)
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>.
Authors:
svplots_0.1.0.tar.gz
svplots_0.1.0.tar.gz(r-4.5-noble)svplots_0.1.0.tar.gz(r-4.4-noble)
svplots_0.1.0.tgz(r-4.4-emscripten)svplots_0.1.0.tgz(r-4.3-emscripten)
svplots.pdf |svplots.html✨
svplots/json (API)
| # Install 'svplots' in R: |
| install.packages('svplots', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:b305ce4dac. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
Exports:svplot1svplot2test1mutest1musmtest2mutest2musm
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
