split_in_clusters: Split a Data Frame into Clusters of Linked Tables

In InseeFrLab/rtauargus: Using Tau-Argus from R

Split a Data Frame into Clusters of Linked Tables

Description

This function splits a data frame into a list of data frames (or clusters), where each cluster represents a group of linked tables. Tables are grouped based on the field variable and their corresponding indicator values. The hierarchical relationships specified in the ⁠hrc_*⁠ columns are also considered.

Usage

split_in_clusters(list_hrc_identified)

Arguments

list_hrc_identified

A list returned by the identify_hrc function. The first element of the list must be a data frame containing the variables: field: A grouping variable. hrc_field: The hierarchical counterpart of field. indicator: A variable used to link tables. hrc_indicator: The hierarchical counterpart of indicator.

Details

The function handles cases where the field variable is constant across the data frame or when field varies, in which case the data frame is split by field and further split by indicator and hrc_indicator.

Value

A named list of data frames. Each element of the list corresponds to a cluster of linked tables, and the names of the list elements reflect the hierarchical grouping path.

Examples

## Not run: 
data(metadata_pizza_lettuce)

metadata_pizza_lettuce_long <- wide_to_long(metadata_pizza_lettuce)
# Identify hierarchical relationships
list_hrc_identified <- identify_hrc(metadata_pizza_lettuce_long)
# Split into clusters
list_split <- split_in_clusters(list_hrc_identified)

# View the structure of the result
str(list_split)

## End(Not run)

InseeFrLab/rtauargus documentation built on Feb. 25, 2025, 6:32 a.m.