**Statistics with R**

by Vincent Zoonekynd

2007

**Description**:

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; Generalized Linear Models; Analysis of Variance; Mixed Models; Time series; Miscellaneous; Applications.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Just Enough R: Learn Data Analysis with R in a Day**

by

**Sivakumaran Raman**-

**Smashwords**

Learn R programming for data analysis in a single day. The book aims to teach data analysis using R within a day to anyone who already knows some programming in any other language. The book has sample code which can be downloaded as a zip file.

(

**2740**views)

**The R Inferno**

by

**Patrick Burns**-

**Burns Statistics**

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.

(

**11282**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.

(

**2303**views)

**Efficient R Programming**

by

**Colin Gillespie, Robin Lovelace**-

**O'Reilly**

The book is about increasing the amount of work you can do with R in a given amount of time. It's about both computational and programmer efficiency. It's for anyone who uses R and who wants to make their use of R more reproducible and faster.

(

**3192**views)