FactoInvestigate makes it easy to generate an automatic report and interpretation of FactoMineR - based principal compoent analyses. The main function provided by the package is the function Investigate(), which can be used to create either a Word, PDF or a HTML report.
The report include the:
- detection of existing outliers,
- identification of the major first principal components,
- description of dimensions
Install and load Required packages
# Load Packages library("FactoMineR") library("FactoInvestigate") # Principal component analyses data(decathlon) res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup = 13, graph = FALSE) Investigate(res.pca, file = "PCA.Rmd", document = "pdf_document", parallel = TRUE) # Correpondance analysis data(children) res.ca = CA(children, row.sup = 15:18, col.sup = 6:8, graph = FALSE) Investigate(res.ca, file = "CA.Rmd", document = "html_document") # Multiple correspondance analysis data(tea) res.mca = MCA(tea, quanti.sup = 19,quali.sup = 20:36, graph = FALSE) Investigate(res.mca, file = "MCA.Rmd", document = c("word_document", "pdf_document"))
The output looks like this: