radiant (version 0.1.95)

conjoint: Conjoint analysis

Description

Conjoint analysis

Usage

conjoint(dataset, ca_dep_var, ca_indep_var, data_filter = "", ca_rev = FALSE)

Arguments

dataset

Dataset name (string). This can be a dataframe in the global environment or an element in an r_data list from Radiant

ca_dep_var

The dependent variable (e.g., profile ratings)

ca_indep_var

Independent variables in the regression

data_filter

Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")

ca_rev

Reverse the values of the dependent variable (`ca_dep_var`)

Value

A list with all variables defined in the function as an object of class conjoint

Details

See http://vnijs.github.io/radiant/marketing/conjoint.html for an example in Radiant

See Also

summary.conjoint to summarize results

plot.conjoint to plot results

Examples

result <- conjoint(dataset = "mp3", ca_dep_var = "Rating", ca_indep_var = "Memory:Shape")