cor-ml.data.frame-ANY-method: Correlation Matrix

In rfml: MarkLogic NoSQL Database Server in-Database Analytics for R

Description

Returns the Pearson correlation coefficient matrix of all numeric fields in a ml.data.frame

Usage

## S4 method for signature 'ml.data.frame,ANY'
cor(x, y = NULL, use = NULL, method = NULL)

Arguments

x	a ml.data.frame
y	not used when doing a matrix
use	not implemented
method	not implemented

Details

The function eliminates all fields pairs for which either the first element or the second element is empty. After the elimination, if the length of the input is less than 2, the function returns the empty sequence. After the elimination, if the standard deviation of the first column or the standard deviation of the second column is 0, the function returns the empty sequence.

Value

The correlation coefficient matrix

Examples

## Not run: 
 library(rfml)
 locConn <- ml.connect()
 # create a ml.data.frame based on a search
 mlIris <- ml.data.frame(locConn, collection = "iris")
 # return the correlation matrix
 cor(mlIris)

## End(Not run)

rfml documentation built on May 2, 2019, 3:01 a.m.