Logo

R Packages: Organize, Test, Document and Share Your Code

Large book cover: R Packages: Organize, Test, Document and Share Your Code

R Packages: Organize, Test, Document and Share Your Code
by

Publisher: O'Reilly Media
ISBN/ASIN: 1491910593
ISBN-13: 9781491910597
Number of pages: 202

Description:
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. In the process, you'll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

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.
(17347 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.
(17291 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.
(1978 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.
(9077 views)