scaler: Scaling and centering explanatory covariates
In jpwrobinson/funk: James Robinson's functions, attributed where stolen

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.

1	scaler(df, ID, centered = TRUE, scaled = TRUE, cats = TRUE, ...)

`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)