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R Programming Language

e-books in R Programming Language category

Book cover: R for Data ScienceR for Data Science
by - O'Reilly Media ,
This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.
(248 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.
(242 views)
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.
(233 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.
(314 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.
(804 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.
(2089 views)
Book cover: Advanced R programmingAdvanced R programming
by ,
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...
(2308 views)
Book cover: The Art of R ProgrammingThe Art of R Programming
by - UC Davis ,
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.
(2787 views)
Book cover: Practical Regression and Anova using RPractical Regression and Anova using R
by ,
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.
(4377 views)
Book cover: The R InfernoThe R Inferno
by - 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.
(5567 views)
Book cover: Using R for Data Analysis and GraphicsUsing R for Data Analysis and Graphics
by - Australian National University ,
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.
(7414 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.
(10023 views)
Book cover: An Introduction to RAn Introduction to R
by - 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.
(10051 views)