Package: MFAg 2.0
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_2.0.tar.gz
MFAg_2.0.tar.gz(r-4.5-noble)MFAg_2.0.tar.gz(r-4.4-noble)
MFAg_2.0.tgz(r-4.4-emscripten)MFAg_2.0.tgz(r-4.3-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 6 months agofrom:de7d5c4811. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
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 |