Package index • projoint

Data sets

Example data sets

exampleData1: Projoint Example Data Set 1: Building Conjoint with a Repeated, Flipped Task

exampleData2: Projoint Example Data Set 2: Building Conjoint with a Repeated, Unflipped Task

exampleData3: Projoint Example Data Set 3: Building Conjoint without a Repeated Task

out1_arranged: Reorganized Projoint Example Data Set 1

exampleData1_labelled_tibble: Projoint Example Data Set 1: "labelled tibble"

Setup

Read in and clean data

read_Qualtrics(): Read and re-format a Qualtrics csv (choice text)

read_labels(): Reads in a CSV of reordered attributes and levels, and applies it to a projoint_data object.

reshape_projoint(): Reshapes survey response data for conjoint analysis

make_projoint_data(): Make a projoint_data object using a labelled tibble (data frame)

save_labels(): Save the attributes and levels, and their order, from a conjoint data set, to a CSV file.

set_qoi(): Set the quantities of interest

Analysis

Estimates conjoint quantities of interest

predict_tau() print(<projoint_tau>) summary(<projoint_tau>): Estimate tau when there is no repeated task.

projoint() print(<projoint_results>) summary(<projoint_results>): Analyze a conjoint data set and correct for measurement error

Visualize

Produce plots

plot(<projoint_results>): Plot all MMs or AMCEs

plot(<projoint_tau>): Visualize the results of the extrapolation method for estimating tau.