**Using R for Data Analysis and Graphics**

by J H Maindonald

**Publisher**: Australian National University 2008**Number of pages**: 96

**Description**:

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.

Download or read it online for free here:

**Download link**

(2.4MB, PDF)

## Similar books

**An Introduction to R**

by

**W. N. Venables, D. M. Smith**-

**Network Theory**

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, or using modules written in C, C++ or Fortran.

(

**11147**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.

(

**731**views)

**Advanced R programming**

by

**Hadley Wickham**

The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R's quirks...

(

**2836**views)

**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.

(

**671**views)