Package: MFAg 2.3
Paulo Cesar Ossani
MFAg: Multiple Factor Analysis (MFA)
Performs Multiple Factor Analysis method for quantitative, categorical, frequency and mixed data, in addition to generating a lot of graphics, also has other useful functions.
Authors:
MFAg_2.3.tar.gz
MFAg_2.3.tar.gz(r-4.6-any)MFAg_2.3.tar.gz(r-4.5-any)
MFAg_2.3.tgz(r-4.5-emscripten)
MFAg.pdf |MFAg.html✨
MFAg/json (API)
| # Install 'MFAg' in R: |
| install.packages('MFAg', 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 from:76c76f9e87. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 92 | ||
| source / vignettes | OK | 122 | ||
| linux-release-x86_64 | OK | 98 | ||
| wasm-release | OK | 78 |
Exports:GSVDIMLocLabMFANormDataPlot.MFA
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multiple Factor Analysis (MFA) | MFAg-package |
| Mixed data set. | DataMix |
| Qualitative data set | DataQuali |
| Quantitative data set | DataQuan |
| Generalized Singular Value Decomposition (GSVD). | GSVD |
| Indicator matrix. | IM |
| Function for better position of the labels in the graphs. | LocLab |
| Multiple Factor Analysis (MFA). | MFA |
| Normalizes the data. | NormData |
| Graphics of the Multiple Factor Analysis (MFA). | Plot.MFA |
