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Wrapper for the clusters construction

Source: R/wrap_computation_kamila.R
wrap_computation_kamila_.Rd

This wrapper contains all the necessary modules which allow to construct the clusters.

Usage

wrap_computation_kamila_(tl_inp, tl_prepadata)

Arguments

tl_inp

List of input data frames of which we use:

  • PARAM_KAMILA$calc_kstar: If TRUE, estimates the clusters. Else, takes the parameter PARAM_KAMILA$param_kstar.

  • PARAM_KAMILA$cont_var_expl: List of continuous variables chosen as explicative variables.

  • PARAM_KAMILA$categ_var_expl: List of categorical variables chosen as explicative variables.

tl_prepadata

List of data frames prepared in a first step.

Value

a tidylist containing the following tidylists:

  • tl_mod_calc_kamila: Tidylist containing

    • PLOTDATKAM data frame containing the clusters factor and the other variables.

    • KM_RES_FINAL data frame containing the resulting parameters of the clustering.

    • CONTVARS data frame containing the continuous standardised variables.

    • FULL_CONT_DF data frame containing the continuous variables used for the estimation.

    • FULL_CATEG_DF data frame containing the categorical variables used for the estimation.

Author

Layal Christine Lettry