RcmdrPlugin.DCE-package: R Commander Plug-in for Discrete Choice Experiments

In RcmdrPlugin.DCE: R Commander Plug-in for Discrete Choice Experiments

R Commander Plug-in for Discrete Choice Experiments

Description

This package adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000).

Details

This package is an R Commander plug-in package for discrete choice experiments (DCEs). It depends on support.CEs (Aizaki 2012), survival (Therneau 2020; Therneau and Grambsch 2000), and Rcmdr (Fox 2005, 2017; Fox and Bouchet-Valat 2020). Refer to Aizaki (2012), Aizaki et al. (2014), and “Non-Market Valuation with R” <http://lab.agr.hokudai.ac.jp/nmvr/> for a brief introduction to DCEs in R.

After successfully installing and loading the RcmdrPlugin.DCE, the R Commander window will appear, and then you will find “DCE” added to the top-level menus in the R Commander window.

Selecting “DCE” displays menu items. When selecting a menu item, the corresponding dialog box opens. The following dialog boxes are provided by RcmdrPlugin.DCE:

• The dialog box for “Design choice sets...” designs choice sets for DCE with the rotation design method or mix-and-match method using the function rotation.design in support.CEs.

• The dialog box for “Display questions...” shows DCE questions from the choice sets designed in the first dialog box using the function questionnaire in support.CEs.

• The dialog box for “Create data set for analysis...” creates a data set for analysis from the choice sets designed in the first dialog box and a data set containing responses to DCE questions using the function ce.dataset in support.CEs. The menu item is activated if a data frame is selected as the active data set.

• The dialog box for “Create interactions...” creates interactions between attribute/level variables and covariates in the data set for analysis. The menu item is activated if the data set for analysis created in the previous dialog box is selected as the active data set.

• The dialog box for “Fit model...” implements a conditional logit model analysis of the data set for analysis using the functions clogit in survival and gofm in support.CEs. The menu item is activated if the data set for analysis created in the previous dialog box is selected as the active data set.

• The dialog box for “Calculate MWTPs...” calculates marginal willingness to pays (MWTPs) of non-monetary variables from the model fitted in the previous dialog box using the function mwtp in support.CEs. The menu item is activated if the active model is of class "clogit".

• The dialog box for “Load saved objects...” loads an R Data file saved in the dialog box for “Design choice sets...” or “Create data set for analysis...” using the function load in base.

Acknowledgments

This work was supported by JSPS KAKENHI Grant Number JP20K06251.

Author(s)

Hideo Aizaki

References

Aizaki H (2012) Basic Functions for Supporting an Implementation of Choice Experiments in R. Journal of Statistical Software, 50(C2): 1–24. https://www.jstatsoft.org/article/view/v050c02.

Aizaki H (2021) support.CEs: Basic Functions for Supporting an Implementation of Choice Experiments. R package version 0.5-0. https://CRAN.R-project.org/package=support.CEs.

Aizaki H, Nakatani T, Sato K (2014) Stated Preference Methods Using R. Chapman and Hall/CRC.

Fox J (2005) The R Commander: A Basic Statistics Graphical User Interface to R. Journal of Statistical Software, 14(9): 1–42. https://www.jstatsoft.org/article/view/v014i09.

Fox J (2017) Using the R Commander: A Point-and-Click Interface for R. Chapman and Hall/CRC. https://socialsciences.mcmaster.ca/jfox/Books/RCommander/

Fox J, Bouchet-Valat M (2020) Rcmdr: R Commander. R package version 2.7-1. https://socialsciences.mcmaster.ca/jfox/Misc/Rcmdr/.

Louviere JJ, Hensher DA, Swait JD (2000) Stated Choice Methods: Analysis and Application. Cambridge University Press.

Therneau T (2020) survival: Survival Analysis. R package version 3.2-7. https://CRAN.R-project.org/package=survival.

Therneau TM, Grambsch PM (2000) Modeling Survival Data: Extending the Cox Model. Springer.

Examples

if(interactive()) {
  library(RcmdrPlugin.DCE)
}

RcmdrPlugin.DCE documentation built on Nov. 7, 2023, 5:06 p.m.