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Java Data Science Cookbook

You're reading from  Java Data Science Cookbook

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Pages 372 pages
Edition 1st Edition
Languages
Author (1):
Rushdi Shams Rushdi Shams
Profile icon Rushdi Shams
Toc

Table of Contents (16) Chapters close

Java Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Obtaining and Cleaning Data 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Calculating Pearson's correlation of two sets of data points


PearsonsCorrelation computes correlations defined by the formula cor(X, Y) = sum[(xi - E(X))(yi - E(Y))] / [(n - 1)s(X)s(Y)], where E(X) and E(Y) are means of X and Y, and s(X) and s(Y) are their respective standard deviations.

How to do it...

  1. Create a method that takes two double arrays that represent two sets of data points:

            public void calculatePearson(double[] x, double[] y){ 
    
  2. Create a PearsonsCorrelation object:

            PearsonsCorrelation pCorrelation = new PearsonsCorrelation(); 
    
  3. Compute correlation of the two sets of data points:

            double cor = pCorrelation.correlation(x, y); 
    
  4. Use the correlation as per your requirements, and close the method:

        System.out.println(cor); 
        } 

The complete code for the recipe is as follows:

import org.apache.commons.math3.stat.correlation.PearsonsCorrelation; 
 
public class PearsonTest { 
   public static void main(String[] args...
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