Brings a set of tools to help and automatically realise the description of principal component analyses (from 'FactoMineR' functions). Detection of existing outliers, identification of the informative components, graphical views and dimensions description are performed threw dedicated functions. The Investigate() function performs all these functions in one, and returns the result as a report document (Word, PDF or HTML).
| Version: | 1.9 |
| Depends: | R (≥ 4.0) |
| Imports: | FactoMineR, stats, methods, graphics, rmarkdown, parallel, ggplot2 |
| Published: | 2023-11-27 |
| DOI: | 10.32614/CRAN.package.FactoInvestigate |
| Author: | Simon Thuleau, Francois Husson |
| Maintainer: | Francois Husson <francois.husson at institut-agro.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://factominer.free.fr/reporting/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FactoInvestigate results |
| Reference manual: | FactoInvestigate.pdf |
| Package source: | FactoInvestigate_1.9.tar.gz |
| Windows binaries: | r-devel: FactoInvestigate_1.9.zip, r-release: FactoInvestigate_1.9.zip, r-oldrel: FactoInvestigate_1.9.zip |
| macOS binaries: | r-release (arm64): FactoInvestigate_1.9.tgz, r-oldrel (arm64): FactoInvestigate_1.9.tgz, r-release (x86_64): FactoInvestigate_1.9.tgz, r-oldrel (x86_64): FactoInvestigate_1.9.tgz |
| Old sources: | FactoInvestigate archive |
| Reverse depends: | Factoshiny |
| Reverse suggests: | Statsomat |
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