Run some simple preprocessing of ordered categorical variables, converting ordered levels to integers if necessary, and storing the unique levels of a variable.

Run some simple preprocessing of ordered categorical variables, converting ordered levels to integers if necessary, and storing the unique levels of a variable.

Usage

orderedCatPreprocess(x_input, unique_levels, var_name = NULL)

Arguments

x_input

Vector of ordered categorical data. If the data is not already stored as an ordered factor, it will be converted to one using the default sort order.

unique_levels

Vector of unique levels for a categorical feature.

var_name

(Optional) Name of variable.

Value

List containing a preprocessed vector of integer-converted ordered categorical observations and the unique level of the original ordered categorical feature.

Examples

x_levels <- c("1. Strongly disagree", "2. Disagree", "3. Neither agree nor disagree", 
              "4. Agree", "5. Strongly agree")
x <- c("1. Strongly disagree", "3. Neither agree nor disagree", "2. Disagree", 
       "4. Agree", "3. Neither agree nor disagree", "5. Strongly agree", "4. Agree")
x_processed <- orderedCatPreprocess(x, x_levels)