encode_deviation: Encode a given factor variable using deviation encoding

In categoryEncodings: Category Variable Encodings

Description

Transforms the original design matrix using a deviation dummy encoding.

Usage

encode_deviation(X, fact, keep_factor = FALSE, encoding_only = FALSE)

Arguments

X	The data.frame/data.table to transform.
fact	The factor variable to encode by - either a positive integer specifying the column number, or the name of the column.
keep_factor	Whether to keep the original factor column(defaults to **FALSE**).
encoding_only	Whether to return the full transformed dataset or only the new columns. Defaults to FALSE and returns the full dataset.

Details

The deviation dummy variable encoding, with reference class level set to -1. The reference class is always the last class observed.

Value

A new data.table X which contains the new columns and optionally the old factor.

Examples

design_mat <- cbind( data.frame( matrix(rnorm(5*100),ncol = 5) ),
                     sample( sample(letters, 10), 100, replace = TRUE)
                     )
colnames(design_mat)[6] <- "factor_var"

encode_deviation(X = design_mat, fact = "factor_var", keep_factor = FALSE)

categoryEncodings documentation built on March 2, 2020, 5:07 p.m.