Package: tuckerR.mmgg 1.5.1
tuckerR.mmgg: Three-Mode Principal Components Analysis
Performs Three-Mode Principal Components Analysis, which carries out Tucker Models.
Authors:
tuckerR.mmgg_1.5.1.tar.gz
tuckerR.mmgg_1.5.1.zip(r-4.5)tuckerR.mmgg_1.5.1.zip(r-4.4)tuckerR.mmgg_1.5.1.zip(r-4.3)
tuckerR.mmgg_1.5.1.tgz(r-4.4-any)tuckerR.mmgg_1.5.1.tgz(r-4.3-any)
tuckerR.mmgg_1.5.1.tar.gz(r-4.5-noble)tuckerR.mmgg_1.5.1.tar.gz(r-4.4-noble)
tuckerR.mmgg_1.5.1.tgz(r-4.4-emscripten)tuckerR.mmgg_1.5.1.tgz(r-4.3-emscripten)
tuckerR.mmgg.pdf |tuckerR.mmgg.html✨
tuckerR.mmgg/json (API)
NEWS
| # Install 'tuckerR.mmgg' in R: |
| install.packages('tuckerR.mmgg', repos = c('https://gusart.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gusart/tuckerr_mmgg/issues
Datasets:
- maize_pop - 31 Native Populations of Maize from Province of Buenos Aires
Last updated 6 years agofrom:3a33e947f7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-win | OK | Sep 12 2024 |
| R-4.5-linux | OK | Sep 12 2024 |
| R-4.4-win | OK | Sep 12 2024 |
| R-4.4-mac | OK | Sep 12 2024 |
| R-4.3-win | OK | Sep 12 2024 |
| R-4.3-mac | OK | Sep 12 2024 |
Exports:diffitmatritionplottucker2R
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aplication of the Diffit method. | diffit print.diff |
| 31 Native Populations of Maize from Province of Buenos Aires | maize_pop |
| Concatenate data frame in array and matrix by cases, variables and environments | matrition |
| Plot an interactive Biplot | plot plot.marta |
| Three-Mode Principal Components: Tucker 2 Model | tucker2R |
| Three-Mode Principal Components: Tuckers Models | tuckerR.mmgg-package tuckerR.mmgg |
