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Principal Component Analysis of mrIML variable importance

Source: R/mrVip.R
mrVipPCA.Rd

Principal Component Analysis of mrIML variable importance

Usage

mrVipPCA(mrVip_obj)

Arguments

mrVip_obj

A list returned by mrVip().

Value

A list of PCA results:

  • $PCA_plot: Side-by-side plots of the different response models on the first two principal components (PCs) and a Scree plot.

  • $PC_outliers: A list of the models flagged as outliers on at least one of the PCs.

  • $eigenvalues: The eigenvalues associated with the principal components.

  • $PC_scores: The PC scores of each response model.

Examples

# Without bootstrap
mrIML_rf <- mrIML::mrIML_bird_parasites_RF

mrIML_rf_vip <- mrVip(mrIML_rf, taxa = "Plas")

vipPCA_results <- mrIML_rf_vip %>%
 mrVipPCA()