ec_undummy {echoice2}

Converts a set of dummy variables into a single categorical variable

Description

Given a set of dummy variables, this function converts them into a single categorical variable. The categorical variable is created by determining which variables are active (i.e. have a value of 1) for each observation and assigning a category based on the set of active variables. If necessary, a reference level can be specified to ensure that all possible categories are represented. Often, all brands of a brand attribute are added as brand intercepts, while other categorical attributes are coded with respect to a reference level.

Usage

ec_undummy(data_in, set_members, attribute_name, ref_level = NULL)

Arguments

data_in

a data frame containing the dummy variables

set_members

a character vector of the names of the dummy variables

attribute_name

a character string representing the name of the new categorical variable

ref_level

a character string representing the name of the reference level. If specified, a new dummy variable will be created for this level, and it will be used as the reference category for the categorical variable. Defaults to NULL.

Value

a data frame with the same columns as data_in, except for the dummy variables in set_members, which are replaced with the new categorical variable attribute_name

Examples

minidata=structure(list(id = c("1", "1", "1", "1", "2", "2", "2", "2"), 
task = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L), 
alt = c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), 
brand1 = c(1, 0, 1, 0, 1, 0, 1, 0), 
brand2 = c(0, 1, 0, 1, 0, 1, 0, 1), 
price = c(1, 2, 1, 2, 1, 2, 1, 2), 
x = c(1, 0, 0, 1, 1, 0, 1, 0)), 
class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -8L))

minidata %>% ec_undummy(c('brand1','brand2'),"brand")