**Efficient R Programming**

by Colin Gillespie, Robin Lovelace

**Publisher**: O'Reilly 2016**ISBN/ASIN**: 1491950781**ISBN-13**: 9781491950784**Number of pages**: 150

**Description**:

Efficient R Programming 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. This book is for anyone who uses R and who wants to make their use of R more reproducible, scalable, and faster.

Download or read it online for free here:

**Read online**

(online html)

## Similar books

**Statistics with R**

by

**Vincent Zoonekynd**

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.

(

**4333**views)

**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.

(

**17757**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.

(

**2138**views)

**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.

(

**2480**views)