Multivariate > Maps

Create brand maps based on (dis)similarity or attribute data

mds()

(Dis)similarity based brand maps (MDS)

summary(<mds>)

Summary method for the mds function

plot(<mds>)

Plot method for the mds function

prmap()

Attribute based brand maps

summary(<prmap>)

Summary method for the prmap function

plot(<prmap>)

Plot method for the prmap function

Multivariate > Factor

Conduct PCA or Factor analysis on numeric data

pre_factor()

Evaluate if data are appropriate for PCA / Factor analysis

summary(<pre_factor>)

Summary method for the pre_factor function

plot(<pre_factor>)

Plot method for the pre_factor function

full_factor()

Factor analysis (PCA)

summary(<full_factor>)

Summary method for the full_factor function

plot(<full_factor>)

Plot method for the full_factor function

store(<full_factor>)

Store factor scores to active dataset

clean_loadings()

Sort and clean loadings

Multivariate > Cluster

Conduct cluster analysis

hclus()

Hierarchical cluster analysis

summary(<hclus>)

Summary method for the hclus function

plot(<hclus>)

Plot method for the hclus function

kclus()

K-clustering

summary(<kclus>)

Summary method for kclus

plot(<kclus>)

Plot method for kclus

store(<kclus>)

Add a cluster membership variable to the active dataset

Multivariate > Conjoint

Estimate conjoint models

conjoint()

Conjoint analysis

summary(<conjoint>)

Summary method for the conjoint function

predict(<conjoint>)

Predict method for the conjoint function

plot(<conjoint>)

Plot method for the conjoint function

predict_conjoint_by()

Predict method for the conjoint function when a by variables is used

print(<conjoint.predict>)

Print method for predict.conjoint

store(<conjoint.predict>)

Store predicted values generated in predict.conjoint

the_table()

Function to calculate the PW and IW table for conjoint

Starting radiant.multivariate

Functions used to start radiant shiny apps

radiant.multivariate()

radiant.multivariate

radiant.multivariate_viewer()

Launch radiant.multivariate in the Rstudio viewer

radiant.multivariate_window()

Launch radiant.multivariate in an Rstudio window

Data sets

Data sets bundled with radiant.multivariate

carpet

Carpet cleaners

city

City distances

city2

City distances 2

computer

Perceptions of computer (re)sellers

mp3

Conjoint data for MP3 players

movie

Conjoint data for Movie theaters

shopping

Shopping attitudes

toothpaste

Toothpaste attitudes

tpbrands

Toothpaste brands

retailers

Perceptions of retailers

Deprecated

Deprecated

carpet

Carpet cleaners

city

City distances

city2

City distances 2

clean_loadings()

Sort and clean loadings

computer

Perceptions of computer (re)sellers

conjoint()

Conjoint analysis

full_factor()

Factor analysis (PCA)

hclus()

Hierarchical cluster analysis

kclus()

K-clustering

mds()

(Dis)similarity based brand maps (MDS)

movie

Conjoint data for Movie theaters

mp3

Conjoint data for MP3 players

plot(<conjoint>)

Plot method for the conjoint function

plot(<full_factor>)

Plot method for the full_factor function

plot(<hclus>)

Plot method for the hclus function

plot(<kclus>)

Plot method for kclus

plot(<mds>)

Plot method for the mds function

plot(<pre_factor>)

Plot method for the pre_factor function

plot(<prmap>)

Plot method for the prmap function

pre_factor()

Evaluate if data are appropriate for PCA / Factor analysis

predict(<conjoint>)

Predict method for the conjoint function

predict_conjoint_by()

Predict method for the conjoint function when a by variables is used

print(<conjoint.predict>)

Print method for predict.conjoint

prmap()

Attribute based brand maps

radiant.multivariate()

radiant.multivariate

radiant.multivariate_viewer()

Launch radiant.multivariate in the Rstudio viewer

radiant.multivariate_window()

Launch radiant.multivariate in an Rstudio window

retailers

Perceptions of retailers

shopping

Shopping attitudes

store(<conjoint>)

Store method for the Multivariate > Conjoint tab

store(<conjoint.predict>)

Store predicted values generated in predict.conjoint

store(<full_factor>)

Store factor scores to active dataset

store(<hclus>)

Add a cluster membership variable to the active dataset

store(<kclus>)

Add a cluster membership variable to the active dataset

summary(<conjoint>)

Summary method for the conjoint function

summary(<full_factor>)

Summary method for the full_factor function

summary(<hclus>)

Summary method for the hclus function

summary(<kclus>)

Summary method for kclus

summary(<mds>)

Summary method for the mds function

summary(<pre_factor>)

Summary method for the pre_factor function

summary(<prmap>)

Summary method for the prmap function

the_table()

Function to calculate the PW and IW table for conjoint

toothpaste

Toothpaste attitudes

tpbrands

Toothpaste brands