encode_mnl: Encode a given factor variable using a multinomial logit...
In categoryEncodings: Category Variable Encodings

Description Usage Arguments Details Value Examples

Transforms the original design matrix using a mnl encoding.

1	encode_mnl(X, fact, keep_factor = FALSE, encoding_only = FALSE)

`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.

Uses the method from Johannemann et al.(2019) 'Sufficient Representations for Categorical Variables' - mnl.

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

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