Implement clustering

Usage

clusimp(
  df,
  id = "ID",
  column = "Predicted class",
  local_stand = FALSE,
  local_cut = FALSE
)

Arguments

df: dataframe containing at least an ID-column and the variables required for the clustering implementation
id: string, column name of the IDs in df, default is ID
column: string, the name of the columnn containing the predicted class membership, default is Predicted class
local_stand: boolean, whether standardisation should be performed independently of the original standardisation performed when deriving the model. If TRUE, input data will be standardised to a mean of 0 and sd of 1. If FALSE, input data will be standardised using the standardisation performed when deriving the model.
local_cut: boolean, whether original cut-offs for categorisation should be used, default is FALSE and required FALSE if df contains less than 4 rows.

Value

a dataframe containing the original data and the predicted class membership. If PCA and categorisation is performed, the output of these actions is also added to the dataframe with the suffices _pca and _categories