Pleasure - Partial Least Squares Analysis with Permutation Testing


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Documentation for package ‘plsr’ version 0.0.1

Help Pages

biplot.plsr Biplot for plsr Objects
connections Connection information needed to draw segments between face tracking points.
explained_variance Calculate variance explained for plsr object
loadings Print loadings of plsr object
new_plsr Constructor for plsr objects
permutation_precision Calculates the precision of the p-value estimated by permutation testing
plot.plsr Plot function for plsr objects
plot_default Default plot function for plsr shiny app
plot_explained_variance Plot explained variance of plsr object
plot_latent_variables Plots latent variables
plot_perm_distr Plots null distributions constructed via permutation testing
plot_perm_results Plot permuation results for plsr object
pls Run partial least squares analysis
predict.plsr Predict from a plsr object
print.plsr Print plsr object
rating_data Emotion ratings on the dimensions happy, sad, surprised, disgusted, angry, fearful and interested
rating_data_emo_means Mean emotion ratings on the dimensions happy, sad, surprised, disgusted, angry, fearful and interested
summary.plsr Summary of plsr object
tracking_data Face tracking data on 40 videos of emotional facial expressions.
tracking_data_emo_means Face tracking data on 40 videos of emotional facial expressions.