mat_corr: Correlation exploration using vectors or data frames

In MAGALA-RICHARD/cormat: What the Package Does (One Line, Title Case)

Correlation exploration using vectors or data frames

Description

mat_corr generate matrix table of significant variables

Usage

mat_corr(y, df, showSig = F, sig.level = 0.05)

Arguments

y	is a response variable for exploring its relationship with the other predictor variables
df	data frame or a matrix with predictor variables
showSig	returns names of the significant variables at the specifies significant level
sig.level	specifies the significant level for deciding a significant relation between variables default is 0.05.

Details

This function explores the correlation of a variables with multiple dependent variables. It takes on an array or a data frame. if a vector is passed to the function it will be converted into a data frame Check if all the variables are numeric and not strings

Value

A data frame of correlation, p-values and their t-values

MAGALA-RICHARD/cormat documentation built on July 8, 2022, 12:14 p.m.