R, the open source statistical environment,is growing rapidly in use and increasing in visibility. R is one of 7 Computing Languages on the Rise, has been profiled in the New York Times, and will be featured in an upcoming issue of Forbes. This program will begin with an introduction to R, its features, and the characteristics that have led to its popularity in the data world. Hands on work will introduce R programming, data manipulation capabilities, basic statistical operations, and graphing functionality. Add-on packages, including graphical interfaces and data mining tools, will be illustrated. Finally, the workshop will discuss how R is being used with "big data", interacting with databases and large data feeds to perform analysis
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
1 A Brief Introduction to R In this summer workshop we will be using the R statistical computing lan...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
R is a statistical computing environment with tools for calculating, manipulating data, and display...
The R platform provides a powerful and comprehensive platform for visualizing data, understanding an...
There is a common sense on the importance of Big Data and Data Science topics in both ‘Academia’ and...
R is a statistical computing environment having facilities for data manipulation, calculation, grap...
R is an extremely powerful environment for statistical computing: It provides packages designed for ...
R is a statistical programming language with a command line interface that is becoming more and more...
This chapter reviews the basics of the R statistical environment. The topics discussed here include ...
R is an open-source statistical software and of increasing interest for the scientific community. It...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
Over the last decade the R language and statistical environment has received a surge in popularity. ...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
When carrying out quantitative discipline based educational research projects, researchers have a va...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
1 A Brief Introduction to R In this summer workshop we will be using the R statistical computing lan...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
R is a statistical computing environment with tools for calculating, manipulating data, and display...
The R platform provides a powerful and comprehensive platform for visualizing data, understanding an...
There is a common sense on the importance of Big Data and Data Science topics in both ‘Academia’ and...
R is a statistical computing environment having facilities for data manipulation, calculation, grap...
R is an extremely powerful environment for statistical computing: It provides packages designed for ...
R is a statistical programming language with a command line interface that is becoming more and more...
This chapter reviews the basics of the R statistical environment. The topics discussed here include ...
R is an open-source statistical software and of increasing interest for the scientific community. It...
The R software (R Core Development Team, 2012) is an open-source statistical software that allows da...
Over the last decade the R language and statistical environment has received a surge in popularity. ...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
When carrying out quantitative discipline based educational research projects, researchers have a va...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
1 A Brief Introduction to R In this summer workshop we will be using the R statistical computing lan...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...