multivariateCorrelation: Calculate correlations between numeric variables

In elastacloud/automatic-data-explorer: Automatic Data Exploration

Description

Can return one of two objects. 1. Dataframe of ranked absolute correlation pairs, or 2. Correlation matrix of all variables.

Usage

multivariateCorrelation(df, dropnotnumeric = TRUE, output = "ranked",
  N = NULL, use = "everything", method = c("pearson", "kendall",
  "spearman"))

Arguments

df	Dataframe containing all variables.
dropnotnumeric	Logical, defaults to TRUE. Automatically drop any non-numeric variables from the dataframe.
output	Determines which output type to return. One of ranked for ranked correlation pairs or matrix for the correlation matrix.
N	Only used when output = "ranked". Default NULL will return all variable pair correlations. Change to e.g. N = 5 to return only the 5 highest absolute correlations
use	Same as use in the cor function.
method	Same as method in the cor function.

Value

Returns the correlation matrix if output = "matrix" or dataframe of ordered variable pair correlations if output = "ranked".

elastacloud/automatic-data-explorer documentation built on May 8, 2019, 9:29 a.m.