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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
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Author (1):
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 Shams Shams
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Shams
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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 FREE CHAPTER 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

Conducting the one-way ANOVA test


ANOVA stands for Analysis of Variance. In this recipe, we will see how to use Java to do a one-way ANOVA test to determine whether the means of three or more independent and unrelated sets of data points are significantly different.

How to do it...

  1. Create a method that takes various data distributions. In our example, we will be applying ANOVA on relations of calories, fats, carbohydrates, and control:

            public void calculateAnova(double[] calorie, double[] fat, 
              double[] carb, double[] control){
    
  2. Create an ArrayList. This ArrayList will contain all the data. The data distributions the method takes as arguments can be seen as classes. Therefore, in our example, we have named them classes:

            List<double[]> classes = new ArrayList<double[]>(); 
    
  3. Sequentially, add the data from the four classes into ArrayList:

            classes.add(calorie); 
            classes.add(fat); 
            classes.add(carb); 
         ...
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