## R (programming language) - Wikipedia

The R Project for Statistical Computing Getting Started. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. R “Hello World” Program A simple program to display “Hello World!” on the screen using print() function. To understand this example, you should have the knowledge of following R programming topics. the contents of this site to get familiar with the R project. As a language R is a dialect of the S language, an object-oriented statistical programming language developed in the late ’s by AT&T’s Bell labs. The next chapter briefly discusses this language and introduces how to work with data objects using the S language.

## R Tutorial - Tutorialspoint

Finding R programming frustrating? R is a free, open source statistical programming language that is available for Windows, *R language examples* and Linux. It consists of the base or core R software as well as add-on packages that extend functionality. R continues to be maintained by the R Development Core Team and major releases are published about twice per year.

R can be used for statistical analysis, **r language examples**, graphics, and reporting, *r language examples*. R can be used to manipulate data, *r language examples*, run statistical analyses such as descriptive statistics, t-tests, regressions, and produce charts. R can even be used to make maps and play minesweeper. R has a number of advantages over comparable commercial software packages.

The first and most obvious advantage is that it is free. For students and anyone on a budget this can be a major advantage. Another related advantage is that you can install it on as many computers as you want to.

Want to install R on two computers in the office, your home desktop and your laptop? No problem, R is free! No complicated and expensive multi-computer license is needed.

A third advantage is that R is being used at many universities and businesses. This means that R users are able to collaborate and learn from other R users and that there are many opportunities for those who can program in R. One final advantage of R is that, because anyone can write an add-on package for it, R has the most advanced analyses and is always being added to. This is because R has a very limited graphical user interface. R programming is done almost exclusively through code.

It is a benefit because methods are very repeatable with little extra effort. As you program in R the code produced is both documentation and a method for easily repeating the process. It is a drawback because learning the code can be very time consuming and frustrating. Another problem with R is that there are few resources for learning the basics.

There are many websites devoted to cutting edge analyses and graphics in R but very few that show how to manipulate data and conduct basic analyses.

R is supported by an enthusiastic group of users and developers, **r language examples**. If you provide a well-formed question and a reproducible example, you are likely to get a solution to your R programming problem. There are many websites devoted to R programming, like this one, as well as R mailing lists with thousands of subscribers. Stackoverflow is another place to look *r language examples* code and ask R questions. Finally, there are many books on R programming.

One benefit to R is its capacity for reproducible research. R is ideal for this purpose because an R programmer can easily write code that pulls data, analyzes it, and produces a PDF, HTML, or slideshow file for reporting all in one. When another party is interested, the original author can simply share the data and code.

Another benefit to creating reproducible research **r language examples** that projects can easily be repeated when new data is available. If you have created a report based on online survey data you can run the report at any time to see updated results.

If you have created a slideshow presentation that management wants to see every quarter you **r language examples** easily run the code again at that time. Looking for an easier free statistical software package?

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R and Reproducible Research One benefit to R is its capacity for reproducible research. Alternatives to R Looking for an easier free statistical software package? Related posts: About. Leave a Reply Cancel reply Your email address will not be published, **r language examples**.

### R Programming Examples - DataMentor

R has Rd, its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both online in a number of formats and in hard copy. Programming features. R is an interpreted language; users typically access it through a command-line asojtinsa.gqed by: Ross Ihaka and Robert Gentleman. A collection of R code snippets with explanations. A set of basic examples can serve as an introduction to the language. R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under.