Abstract. R is a dynamic language for statistical computing that combines lazy functional features and object-oriented programming. This rather unlikely lin-guistic cocktail would probably never have been prepared by computer scientists, yet the language has become surprisingly popular. With millions of lines of R code available in repositories, we have an opportunity to evaluate the fundamental choices underlying the R language design. Using a combination of static and dynamic program analysis we assess the success of different language features.
The R platform provides a powerful and comprehensive platform for visualizing data, understanding an...
The R programming language is widely used in a variety of domains. It was designed to favor an inter...
This chapter reviews the basics of the R statistical environment. The topics discussed here include ...
R is an environment and functional programming language for statistical data analysis and visualizat...
The R programming language is approaching its 30th birthday, and in the last three decades it has ac...
Although statistical design is one of the oldest branches of statistics, its importance is ever incr...
International audienceR is one of the most widely used computer languages for data analysis. The aim...
The community behind R is built by inspired scientists that share their tools and knowledge freely t...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
When carrying out quantitative discipline based educational research projects, researchers have a va...
As more and more historical records are digitized, having a way to quickly analyze large volumes of ...
The community behind R is built by inspired scientists that share their tools and knowledge freely t...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
Languages change over time, driven by creation of new words and cultural pressure to optimise commun...
R language is the GNU arm of S language, which has taken the computational world by storm in the la...
The R platform provides a powerful and comprehensive platform for visualizing data, understanding an...
The R programming language is widely used in a variety of domains. It was designed to favor an inter...
This chapter reviews the basics of the R statistical environment. The topics discussed here include ...
R is an environment and functional programming language for statistical data analysis and visualizat...
The R programming language is approaching its 30th birthday, and in the last three decades it has ac...
Although statistical design is one of the oldest branches of statistics, its importance is ever incr...
International audienceR is one of the most widely used computer languages for data analysis. The aim...
The community behind R is built by inspired scientists that share their tools and knowledge freely t...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
When carrying out quantitative discipline based educational research projects, researchers have a va...
As more and more historical records are digitized, having a way to quickly analyze large volumes of ...
The community behind R is built by inspired scientists that share their tools and knowledge freely t...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
Languages change over time, driven by creation of new words and cultural pressure to optimise commun...
R language is the GNU arm of S language, which has taken the computational world by storm in the la...
The R platform provides a powerful and comprehensive platform for visualizing data, understanding an...
The R programming language is widely used in a variety of domains. It was designed to favor an inter...
This chapter reviews the basics of the R statistical environment. The topics discussed here include ...