R

R is a programming language created in 1993 by Ross Ihaka.

R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years. Read more on Wikipedia...

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#11on PLDB

29Years Old

1.1mUsers

the R website
the R Wikipedia page
PLDB estimates there are currently 14k job openings for R programmers.
file extensions for R include r, R, RData, rds, rda, rd and rsx
the R team is on Twitter
Check out the 84 R meetup groups on Meetup.com.
There are 29,980 members in the R subreddit
There are 1,329 Project Euler users using R
In the 2021 StackOverflow developer survey R programmers reported a median salary of $59,454. 5% of respondents reported using R. 4,185 programmers reported using R, and 4,015 said they wanted to use it
Explore R snippets on Rosetta Code
R is listed on HOPL
R ranks #11 in the TIOBE Index
There is an Ubuntu package for R
Here is an ANTLR grammar for R
Here is a R LSP implementation
There is a CodeMirror package for syntax highlighting R
There is a Monaco package for syntax highlighting R
GitHub supports syntax highlighting for R
R appears in the Quine Relay project
There is 1 Jupyter Kernel for R
There are 2 central package repositories for R: 1,2
Indeed.com has 3,912 matches for "r data scientist".
r-project.org was registered in 1999
See also: Common Lisp, S, Scheme, Julia, C, Fortran, Java, Python, LaTeX, APL, MATLAB, GNU Octave, Knitr, Sweave, UTF-8, RStudio, Eclipse, Emacs, LyX, Perl, Ruby, F#, SPSS, Stata, Mathematica
Have a question about R not answered here? Open an issue explaining what you need.
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Example code from Riju:

print("Hello, world!")

Example code from hello-world:

cat("Hello World")

Example code from the Hello World Collection:

# Hello World in R
cat("Hello world\n")

Example code from Linguist:

hello <- function() {
    print("hello, world!")
}
hello()

Example code from Wikipedia:

install.packages("caTools")  # install external package
library(caTools)           # external package providing write.gif function
jet.colors <- colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F",
                                 "yellow", "#FF7F00", "red", "#7F0000"))
dx <- 400                  # define width
dy <- 400                  # define height
C <- complex( real=rep(seq(-2.2, 1.0, length.out=dx), each=dy ),
              imag=rep(seq(-1.2, 1.2, length.out=dy), dx ) )
C <- matrix(C,dy,dx)       # reshape as square matrix of complex numbers
Z <- 0                     # initialize Z to zero
X <- array(0, c(dy,dx,20)) # initialize output 3D array
for (k in 1:20) {          # loop with 20 iterations
  Z <- Z^2+C               # the central difference equation
  X[,,k] <- exp(-abs(Z))   # capture results
}
write.gif(X, "Mandelbrot.gif", col=jet.colors, delay=100)

Keywords in R

if else repeat while function for in next break TRUE FALSE NULL Inf NaN NA NA_integer_ NA_real_ NA_complex_ NA_character_ ...

Language features

Feature	Supported	Example	Token
Conditionals	✓
Functions	✓
While Loops	✓
Booleans	✓		TRUE FALSE
Assignment	✓		=
Print() Debugging	✓		print
Line Comments	✓	# A comment	#
Pipes	✓	# R has pipes via a library like dplyr starwars %>% filter(species == "Droid")
Operator Overloading	✓
Lazy Evaluation	✓
File Imports	✓	source("filename.r")
Comments	✓	# A comment
Bitwise Operators	✓	! x x & y x && y x \| y x \|\| y xor(x, y)
Strings	✓	"hello world"	"
Semantic Indentation	ϴ
MultiLine Comments	ϴ

Trending R repos on GitHub

repo	stars	description
bookdown	1586	Authoring Books and Technical Documents with R Markdown
r4ds	2051	R for data science: a book
tidytuesday	1062	Official repo for the #tidytuesday project
shiny	3527	Easy interactive web applications with R
rmarkdown	1596	Dynamic Documents for R
swirl_courses	3009	🎓 A collection of interactive courses for the swirl R package.
rnaseq_tutorial	767	"Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing critical file formats reference genomes gene annotation expression differential expression alternative splicing data visualization and interpretation."
seurat	540	R toolkit for single cell genomics

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