Package: MVET 0.1.0
Yeonseok Choi
MVET: Multivariate Estimates and Tests
Multivariate estimation and testing, currently a package for testing parametric data. To deal with parametric data, various multivariate normality tests and outlier detection are performed and visualized using the 'ggplot2' package. Homogeneity tests for covariance matrices are also possible, as well as the Hotelling's T-square test and the multivariate analysis of variance test. We are exploring additional tests and visualization techniques, such as profile analysis and randomized complete block design, to be made available in the future and making them easily accessible to users.
Authors:
MVET_0.1.0.tar.gz
MVET_0.1.0.zip(r-4.5)MVET_0.1.0.zip(r-4.4)MVET_0.1.0.zip(r-4.3)
MVET_0.1.0.tgz(r-4.4-any)MVET_0.1.0.tgz(r-4.3-any)
MVET_0.1.0.tar.gz(r-4.5-noble)MVET_0.1.0.tar.gz(r-4.4-noble)
MVET_0.1.0.tgz(r-4.4-emscripten)MVET_0.1.0.tgz(r-4.3-emscripten)
MVET.pdf |MVET.html✨
MVET/json (API)
| # Install 'MVET' in R: |
| install.packages('MVET', repos = c('https://yeonseok-choi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yeonseok-choi/mvet/issues
- wine - Wine Dataset
Last updated 6 months agofrom:d3375f8386. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:boxMtestHT2testmardiatestoutlierPPCCtestSPCCtestVManova
Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Mean Value Parallel Coordinates Plot (Use to HT2test & VManova) | .mean_parallel_plot |
| Box's M-test | boxMtest |
| Hotelling T Square Test | HT2test |
| Mardia Test for Multivariate Normality Test | mardiatest |
| Outliers Detection | outlier |
| Probability Plot Correlation Coefficient(PPCC) Test for Multivariate Normality Test | PPCCtest |
| Srivastava Plot Correlation Coefficient(SPCC) Test for Multivariate Normality Test | SPCCtest |
| Various Multivariate Anova(VManova) | VManova |
| Wine Dataset | wine |