scaler_cat: Scaling and centering explanatory covariates

In jpwrobinson/funk: James Robinson's functions, attributed where stolen

Description

function to scale numeric and categorical variables for multi-model approaches. Categorical covariates must be provided as factors and will be converted to 0,1 dummy variables.

Usage

scaler_cat(df, ID, centered = TRUE, scaled = TRUE, cats = TRUE, ...)

Arguments

df	= dataset containing all response, explanatory, and grouping factors
ID	= names of grouping variables that should not be scaled; provide as c("Var1", "Var2")
centered	= should the function center the mean at 0? (defaults to TRUE)
scaled	= should the function scale each variable by its standard deviation? (defaults to TRUE)
cats	= should the function convert categorical variables into dummies?

Examples

scaler_cat

jpwrobinson/funk documentation built on Nov. 21, 2021, 11:23 p.m.