Welcome to E-Books Directory
This page lists freely downloadable books.
R Programming Language
E-Books for free online viewing and/or download
e-books in this category
Statistics with R
by Vincent Zoonekynd , 2007
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.
Advanced R programming
by Hadley Wickham , 2013
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...
The Art of R Programming
by Norman Matloff - UC Davis , 2009
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.
Practical Regression and Anova using R
by Julian J. Faraway , 2002
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.
The R Inferno
by Patrick Burns - Burns Statistics , 2011
If you don't know of 'The R Inferno', this revised edition is a book-length (intermediate level) explanation of a few trouble spots when using the R language. If you are using R and you think you're in hell, this is a map for you.
Using R for Data Analysis and Graphics
by J H Maindonald - Australian National University , 2008
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.
Using R for Introductory Statistics
by John Verzani - Chapman & Hall/CRC , 2004
A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.
An Introduction to R
by W. N. Venables, D. M. Smith - Network Theory , 2008
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.