dummy_c2c: Add default cat2cat columns to a 'data.frame'

In Polkas/catTOcat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Add default cat2cat columns to a 'data.frame'

Description

a utils function to add default cat2cat columns to a 'data.frame'. It will be useful e.g. for a boarder periods which will not have additional 'cat2cat' columns.

Usage

dummy_c2c(df, cat_var, ml = NULL)

Arguments

df	'data.frame'.
cat_var	'character(1)' a categorical variable name.
ml	'character' vector of ml models applied, any of 'c("knn", "rf", "lda")'.

Value

the provided 'data.frame' with additional 'cat2cat' like columns.

Examples

## Not run: 
dummy_c2c(airquality, "Month")

data("occup_small", package = "cat2cat")
occup_old <- occup_small[occup_small$year == 2008, ]
dummy_c2c(occup_old, "code")
dummy_c2c(occup_old, "code", "knn")

## End(Not run)

Polkas/catTOcat documentation built on Jan. 26, 2024, 7:10 a.m.