**The Art of R Programming**

by Norman Matloff

**Publisher**: UC Davis 2009**ISBN/ASIN**: 1593273843**Number of pages**: 193

**Description**:

This book is for those who wish to write code in R, as opposed to those who use R mainly for a sequence of separate, discrete statistical operations. The reader's level of programming background may range from professional to novice.

Download or read it online for free here:

**Download link**

(650KB, PDF)

## Similar books

**Exploratory Data Analysis with R**

by

**Roger D. Peng**-

**Leanpub**

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies.

(

**1369**views)

**Statistics with R**

by

**Vincent Zoonekynd**

Contents: Introduction to R; Programming in R; From Data to Graphics; Customizing graphics; Factorial methods; Clustering; Probability Distributions; Estimators and Statistical Tests; Regression; Other regressions; Regression Problems; etc.

(

**3237**views)

**Practical Regression and Anova using R**

by

**Julian J. Faraway**

The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and when they should be applied. Many examples are presented to clarify the use of the techniques.

(

**5340**views)

**R Packages: Organize, Test, Document and Share Your Code**

by

**Hadley Wickham**-

**O'Reilly Media**

This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham's package development philosophy. You'll work with devtools, roxygen, and testthat, a set of R packages.

(

**1287**views)