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Modern R Programming Cookbook

You're reading from   Modern R Programming Cookbook Recipes to simplify your statistical applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787129054
Length 236 pages
Edition 1st Edition
Languages
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Author (1):
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Jaynal Abedin Jaynal Abedin
Author Profile Icon Jaynal Abedin
Jaynal Abedin
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Toc

Table of Contents (10) Chapters Close

Preface 1. Installing and Configuring R and its Libraries FREE CHAPTER 2. Data Structures in R 3. Writing Customized Functions 4. Conditional and Iterative Operations 5. R Objects and Classes 6. Querying, Filtering, and Summarizing 7. R for Text Processing 8. R and Databases 9. Parallel Processing in R

Using for loop for iterations

The most convenient way to perform iterative operation in R is the use of a for loop. Suppose you are given a dataset with five variables representing five different diseases for 10 people. All your variables are binary. Your task is to calculate the frequency of each variable as well as the cross-frequency of all pair-wise variables. Using a for loop, you can easily complete this task. In this recipe, you will implement a for loop to calculate the disease frequency and the frequency of all pair-wise variables.

Getting ready

Let’s consider you are given the following dataset mat:

    set.seed(1234)
mat<-matrix(sample(c(0,1),50,replace = T),nrow = 10,ncol=5)
rownames(mat) <-...
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