**An Introduction to R**

by W. N. Venables, D. M. Smith

**Publisher**: Network Theory 2008**ISBN/ASIN**: 0954161742**ISBN-13**: 9780954161743**Number of pages**: 100

**Description**:

This manual provides a comprehensive introduction to R, a software package for statistical computing and graphics. R supports a wide range of statistical techniques, and is easily extensible via user-defined functions written in its own language, or using dynamically loaded modules written in C, C++ or Fortran. One of R's strengths is the ease with which well-designed publication-quality plots can be produced.

Download or read it online for free here:

**Download link**

(630KB, PDF)

## Similar books

**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.

(

**777**views)

**The Art of R Programming**

by

**Norman Matloff**-

**UC Davis**

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.

(

**3476**views)

**R for Data Science**

by

**Garrett Grolemund, Hadley Wickham**-

**O'Reilly Media**

This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.

(

**834**views)

**Using R for Data Analysis and Graphics**

by

**J H Maindonald**-

**Australian National University**

These notes are designed to allow individuals who have a basic grounding in statistical methodology to work through examples that demonstrate the use of R for a range of types of data manipulation, graphical presentation and statistical analysis.

(

**7907**views)