R: Multivariate Exploratory Data Analysis

# Multivariate Exploratory Data Analysis

## Documentation for package ‘booklet’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

ca_col_contrib | Compute col contributions
ca_col_coords | Compute col coordinates
ca_col_cos2 | Compute col squared cosines
ca_col_inertia | Compute col inertia
ca_col_sup_coords | Compute col coordinates
ca_col_sup_cos2 | Compute col squared cosines
ca_row_contrib | Compute row contributions
ca_row_coords | Compute row coordinates
ca_row_cos2 | Compute row squared cosines
ca_row_inertia | Compute row inertia
ca_row_sup_coords | Compute row coordinates
ca_row_sup_cos2 | Compute row squared cosines
ca_standardize | Data standardization for CA
ca_standardize_sup | Data standardization for CA
ca_weighted_eigen | Compute eigenvalues and eigenvectors for CA
facto_ca | Perform CA with FactoMineR's style
facto_mfa | Perform MFA with FactoMineR's style
facto_pca | Perform PCA with FactoMineR's style
pca_eigen | Compute eigenvalues and eigenvectors
pca_ind_contrib | Compute individual contributions
pca_ind_coords | Compute coordinates for individuals
pca_ind_cos2 | Compute individual squared cosines
pca_standardize | Data standardization for PCA
pca_standardize_norm | Data standardization for PCA
pca_var_contrib | Compute variable contributions
pca_var_coords | Compute variable coordinates
pca_var_cor | Compute variable correlation
pca_var_cos2 | Compute variable squared cosines
pca_weighted_eigen | Compute eigenvalues and eigenvectors