Multivariate Menu for Radiant: Business Analytics using R and Shiny
Sort and clean loadings
Conjoint analysis
Factor analysis (PCA)
Hierarchical cluster analysis
K-clustering
(Dis)similarity based brand maps (MDS)
Plot method for the conjoint function
Plot method for the full_factor function
Plot method for the hclus function
Plot method for kclus
Plot method for the mds function
Plot method for the pre_factor function
Plot method for the prmap function
Evaluate if data are appropriate for PCA / Factor analysis
Predict method for the conjoint function when a by variables is used
Predict method for the conjoint function
Print method for predict.conjoint
Attribute based brand maps
Launch radiant.multivariate in the Rstudio viewer
Launch radiant.multivariate in an Rstudio window
radiant.multivariate
Store predicted values generated in predict.conjoint
Store method for the Multivariate > Conjoint tab
Store factor scores to active dataset
Add a cluster membership variable to the active dataset
Add a cluster membership variable to the active dataset
Summary method for the conjoint function
Summary method for the full_factor function
Summary method for the hclus function
Summary method for kclus
Summary method for the mds function
Summary method for the pre_factor function
Summary method for the prmap function
Function to calculate the PW and IW table for conjoint
The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.
Useful links