prep_clusters: Prep Clusters
In aedobbyn/dobtools: dobtools

Prepare a dataframe for clustering. Specify a vector of predictors, scale some or all of them, and specify a response variable. Return a list with the original dataframe (df_for_clustering), the predictors (preds), and the outcome variables (outcome).

1	prep_clusters(df, preds, to_scale, resp)

`df`	A dataframe containing data to cluster on.
`preds`	A vector of predictor variables.
`to_scale`	A subset of those predictors that should be scaled.
`resp`	The response variable.

cluster_on <- c("mpg", "cyl", "disp", "hp", "drat")
to_scale <- c("mpg", "cyl", "disp")
response_vars <- c("gear", "carb")

prep_car_clusters <- prep_clusters(df = mtcars,
                              preds = cluster_on,
                              to_scale = to_scale,
                              resp = response_vars)