Package: Gifi 1.0-0
Patrick Mair
Gifi: Multivariate Analysis with Optimal Scaling
Implements various Gifi methods in a user-friendly way: categorical principal component analysis (princals), multiple correspondence analysis (homals), monotone regression analysis (morals).
Authors:
Gifi_1.0-0.tar.gz
Gifi_1.0-0.zip(r-4.7)Gifi_1.0-0.zip(r-4.6)Gifi_1.0-0.zip(r-4.5)
Gifi_1.0-0.tgz(r-4.6-x86_64)Gifi_1.0-0.tgz(r-4.6-arm64)Gifi_1.0-0.tgz(r-4.5-x86_64)Gifi_1.0-0.tgz(r-4.5-arm64)
Gifi_1.0-0.tar.gz(r-4.7-arm64)Gifi_1.0-0.tar.gz(r-4.7-x86_64)Gifi_1.0-0.tar.gz(r-4.6-arm64)Gifi_1.0-0.tar.gz(r-4.6-x86_64)
Gifi_1.0-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Gifi/json (API)
NEWS
| # Install 'Gifi' in R: |
| install.packages('Gifi', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/psychor
- ABC - ABC Customer Satisfaction
- galo - GALO dataset
- gubell - Guttman-Bell dataset
- hartigan - Hartigan's Hardware
- house - House
- mammals - Mammals dataset
- neumann - Neumann dataset
- roskam - Roskam dataset
- senate07 - Senate votes 2007
- sleeping - Sleeping Bags
- small - Small dataset
- WilPat2 - Wilson-Patterson Conservatism Scale
Last updated from:bd3f6cfe22. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 141 | ||
| linux-devel-x86_64 | OK | 120 | ||
| source / vignettes | OK | 214 | ||
| linux-release-arm64 | OK | 127 | ||
| linux-release-x86_64 | OK | 132 | ||
| macos-release-arm64 | OK | 84 | ||
| macos-release-x86_64 | OK | 246 | ||
| macos-oldrel-arm64 | OK | 82 | ||
| macos-oldrel-x86_64 | OK | 199 | ||
| windows-devel | OK | 122 | ||
| windows-release | OK | 100 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 98 |
Exports:cvhomalsknotsGifimakeNumericmoralsprincals
Dependencies:colorspace
Gifi Theory
Rendered fromgifi_theory.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2025-08-26
Started: 2025-08-26
Multiple Correspondence Analysis
Rendered fromhomals.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2025-08-28
Started: 2025-08-26
Ordinal and Mixed PCA
Rendered fromprincals.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2025-08-28
Started: 2025-08-26
Regression in Gifi
Rendered frommorals.Rmdusingknitr::rmarkdownon May 25 2026.Last update: 2025-08-26
Started: 2025-08-26
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ABC Customer Satisfaction | ABC |
| Cross-validation for Morals fit | cv cv.morals |
| GALO dataset | galo |
| Guttman-Bell dataset | gubell |
| Hartigan's Hardware | hartigan |
| Multiple Correspondence Analysis (HOMALS). | homals |
| House | house |
| Utility function for Gifi knot specifications. | knotsGifi |
| Convert a data frame into a numeric matrix. | makeNumeric |
| Mammals dataset | mammals |
| Multiple Regression (MORALS) | morals |
| Neumann dataset | neumann |
| Plot Methods for Homals | plot.homals |
| Plot Methods for Morals | plot.morals |
| Plot Methods for Princals | plot.princals |
| Categorical principal component analysis (PRINCALS). | princals |
| Roskam dataset | roskam |
| Senate votes 2007 | senate07 |
| Sleeping Bags | sleeping |
| Small dataset | small |
| Wilson-Patterson Conservatism Scale | WilPat2 |
