Logo

An Introduction to R by W. N. Venables, D. M. Smith

Large book cover: An Introduction to R

An Introduction to R
by

Publisher: Network Theory
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.

Home page url

Download or read it online for free here:
Download link
(630KB, PDF)

Similar books

Book cover: Statistics with RStatistics with R
by
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.
(7680 views)
Book cover: Using R for Introductory StatisticsUsing R for Introductory Statistics
by - Chapman & Hall/CRC
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.
(22730 views)
Book cover: Efficient R ProgrammingEfficient R Programming
by - 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.
(6264 views)
Book cover: R Packages: Organize, Test, Document and Share Your CodeR Packages: Organize, Test, Document and Share Your Code
by - 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.
(4700 views)