FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title: An Introduction to R: A Programming Environment for Data Analysis and Graphics
 Author(s) William N Venables, David M Smith
 Publisher: Network Theory Ltd.; 2nd edition (May 1, 2009); eBook (Version 4.3.3, 20240229)
 Paperback: 144 pages
 eBook: HTML and PDF
 Language: English
 ISBN10: 0954612086
 ISBN13: 9780954612085
 Share This:
Book Description
This tutorial 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 userdefined functions. One of R's strengths is the ease with which publicationquality plots can be produced in a wide variety of formats.
About the Authors N/A
 An Introduction to R: A Programming Environment for Data Analysis and Graphics
 HTML Format
 The Mirror Site (1)  PDF

Doing Data Science in R: An Introduction for Social Scientists
This approachable introduction to doing data science in R provides stepbystep advice on using the tools and statistical methods to carry out data analysis. It builds knowledge and skills gradually.

R for Geographic Data Science (Stefano De Sabbata)
This book introduces readers to tools in the R programming language for accessing and analyzing Census data from the United States Census Bureau and shows how to carry out demographic analyses in a single computing environment.

Introduction to Statistical Data Analysis with R (Matthias Kohl)
The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data.

R for Data Science: Visualize, Model, Transform, Tidy, Import
This book teaches 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, visualize it and model it, how data science can help you work with the uncertainty and capture the opportunities.

Mastering Shiny: Apps, Reports, and Dashboards Powered by R
Master the Shiny web framework  and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses.

Mastering Software Development in R (Roger D. Peng, et al.)
The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products.

Tidy Modeling with R: A Framework for Modeling in the Tidyverse
This book shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. It demonstrate ways to create models by focusing on an R dialect called the Tidyverse.

HandsOn Programming with R: Functions and Simulations
This book not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. Youâ€™ll gain valuable programming skills and support your work as a data scientist at the same time.

R Packages: Organize, Test, Document, and Share Your Code
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author's package development philosophy.

R Programming for Data Science (Roger D. Peng)
This book is about the fundamentals of R programming. Get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. You will have a solid foundation on data science toolbox.

R Cookbook: Recipes for Data Analysis, Statistics, and Graphics
This book is full of howto recipes, each of which solves a specific problem. Each recipe includes a quick introduction to the solution followed by a discussion that aims to unpack the solution and give you some insight into how it works.
:






















