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: Exploratory Data Analysis with RExploratory Data Analysis with R
by - 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.
(8505 views)
Book cover: Tidy Modeling with RTidy Modeling with R
by - O'Reilly Media
This book is a guide to using a collection of software in the R programming language for model building called 'tidymodels'. The book provides a practical introduction to how to use these specific R packages to create models.
(2959 views)
Book cover: Just Enough R: Learn Data Analysis with R in a DayJust Enough R: Learn Data Analysis with R in a Day
by - 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.
(9085 views)
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.
(10664 views)