func_correlation: find correlated variables

In mlampros/FeatureSelection: Feature extraction and selection based on 'glmnet', 'xgboost' and 'ranger'

find correlated variables

Description

This function takes a data frame or a matrix and returns either a data frame or a list of data frames with correlated variables

Usage

func_correlation(
  data,
  target = NULL,
  correlation_thresh = NULL,
  use_obs = NULL,
  correlation_method = NULL
)

Arguments

data	either a data frame or a matrix
target	either a string (name of the predictor/response in the data set) or a vector of strings (predictor/response names of the data set)
correlation_thresh	a float indicating the correlation threshold
use_obs	one of "everything", "all.obs", "complete.obs", "na.or.complete", "pairwise.complete.obs"
correlation_method	one of "pearson", "kendall", "spearman"

Details

This function takes a data frame or a matrix and returns the correlated variables of the data

Value

either a data frame or a list of data frames

mlampros/FeatureSelection documentation built on Jan. 12, 2023, 4:40 a.m.