Package 'DCEmgmt'

Title: DCE Data Reshaping and Processing
Description: Prepare the results of a DCE to be analysed through choice models.'DCEmgmt' reshapes DCE data from wide to long format considering the special characteristics of a DCE. 'DCEmgmt' includes the function 'DCEestm' which estimates choice models once the database has been reshaped with 'DCEmgmt'.
Authors: Daniel Perez-Troncoso [aut, cre]
Maintainer: Daniel Perez-Troncoso <[email protected]>
License: GPL-3
Version: 0.0.1
Built: 2024-11-07 06:34:44 UTC
Source: CRAN

Help Index


Survey data from the DCE in Consumers' preferences and WTP for personalised nutrition (https://doi.org/10.1007/s40258-021-00647-3)

Description

Survey data from the DCE in Consumers' preferences and WTP for personalised nutrition (https://doi.org/10.1007/s40258-021-00647-3)

Usage

data(survey)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 242 rows and 21 columns.

Source

doi:10.1007/s40258-021-00647-3DOI

References

P?rez-Troncoso et al. (2021) Applied Health Economics and Health Policy 19, 757-767 (PubMed)

Examples

data <- data(survey)

Coded dataset

Description

Coded dataset

Usage

data(data.c)

Format

An object of class data.frame with 3744 rows and 20 columns.

Source

doi:10.1007/s40258-021-00647-3

References

Perez-Troncoso et al. (2021) Applied Health Economics and Health Policy 19, 757-767 (PubMed)

Examples

data. <- data(data.c)

DCEmgmt function

Description

Prepare the results of a DCE to be analysed through choice models.

Usage

DCEmgmt(data, droprow, keepvar, create.id, blocks, sets, alts, options, design)

Arguments

data

Data.frame with the survey data in wide data format. See 'data(survey)'

droprow

Rows to be deleted. Specify a single row (droprow = x) or more than one (dropdown = x:y).

keepvar

Select the case-specific variables to be kept. For example: keepvar = c("x", "y").

create.id

Create a variable called "id" with a unique identificator per respondent. create.id = TRUE

blocks

Specifies the variables designating each choice set block. Each choice set variable must be named as a letter (for instance Q) followed by a number (starting by 1). Thus, the first block of choice sets can be named Q1, Q2, Q3, Q4 whereas the second can be called F5, F6, F7, F8. In this case, block = c("Q", "F"). If there is only one block, block = c("Q").

sets

Specify the number of choice sets per block. If there is only one block, specify the total number of choice sets. For instance, sets = 8.

alts

Specify the number of alternatives per choice set. For example, alts = 3.

options

Vector indicating the string used to designate the choice. For example, option = c("Option A", "Option B", "Option C"). See examples.

design

Data frame with the design matrix in dummy or effects coding. PONER EJEMPLO

Examples

data(survey)
data(design)

data.c<-DCEmgmt(data = data,
        droprow = 1:5,
        keepvar = c("age", "height"),
        create.id = TRUE,
        blocks = c("B1_", "B2_"),
        sets = 8,
        alts = 2,
        options = c("Prefiero el servicio A", "Prefiero el servicio B"),
        design = design)

#The data frame data.c contains the coded DCE data

Design matrix from the DCE in Consumers' preferences and WTP for personalised nutrition (https://doi.org/10.1007/s40258-021-00647-3)

Description

Design matrix from the DCE in Consumers' preferences and WTP for personalised nutrition (https://doi.org/10.1007/s40258-021-00647-3)

Usage

data(design)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 32 rows and 14 columns.

Source

doi:10.1007/s40258-021-00647-3

References

P?rez-Troncoso et al. (2021) Applied Health Economics and Health Policy 19, 757-767 (PubMed)

Examples

design <- data(design)