check_cor: Search for strongly correlated values (Spearman's rank for...

In ModelOriented/forester: Quick and Simple Tools for Training and Testing of Tree-Based Models

Search for strongly correlated values (Spearman's rank for numerical, Crammer's V for categorical)

Description

Search for strongly correlated values (Spearman's rank for numerical, Crammer's V for categorical)

Usage

check_cor(df, y = NULL, time = NULL, status = NULL, verbose = TRUE)

Arguments

df	A data source, that is one of the major R formats: data.table, data.frame, matrix, and so on.
y	A string that indicates a target column name for regression or classification. Either y, or pair: time, status can be used. By default NULL.
time	A string that indicates a time column name for survival analysis task. Either y, or pair: time, status can be used. By default NULL.
status	A string that indicates a status column name for survival analysis task. Either y, or pair: time, status can be used. By default NULL.
verbose	A logical value, if set to TRUE, provides all information about the process, if FALSE gives none.

Value

A list with every line of the sub-report.

ModelOriented/forester documentation built on June 6, 2024, 7:29 a.m.