The name of the language, R, comes from being both an S language successor and the shared first letter of the authors, Ross and Robert. In August 1993, Ihaka and Gentleman posted a binary file of R on StatLib — a data archive website. At the same time, they announced the posting on the s-news mailing list. On 5 December 1997, R became a GNU project when version 0.60 was released. On 29 February 2000, the 1.0 version was released.
Immediately available when starting R after installation, base packages provide the fundamental and necessary syntax and commands for programming, computing, graphics production, basic arithmetic, and statistical functionality.
Installing a package occurs only once. For example, to install the tidyverse collection:
> install.packages("tidyverse")
To load the functions, data, and documentation of a package, one calls the library() function. To load the tidyverse collection, one can execute the following code:
> # The package name can be enclosed in quotes
> library("tidyverse")
> # But the package name can also be used without quotes
> library(tidyverse)
The R community hosts many conferences and in-person meetups. These groups include:
On social media sites such as Twitter, the hashtag #rstats can be used to follow new developments in the R community.
The following is an example of creating a function to perform an arithmetic calculation:
# The function's input parameters are x and y.
# The function, named f, returns a linear combination of x and y.
f <- function(x, y) {
z <- 3 * x + 4 * y
# An explicit return() statement is optional--it could be replaced with simply `z` in this case.
return(z)
}
# As an alternative, the last statement executed in a function is returned implicitly.
f <- function(x, y) 3 * x + 4 * y
Since R version 4.1.0, functions can be written in a short notation, which is useful for passing anonymous functions to higher-order functions:
> sapply(1:5, \(i) i^2) # here \(i) is the same as function(i)
[1] 1 4 9 16 25
Another alternative to nested functions is the use of intermediate objects, rather than the pipe operator:
> mtcars_subset_rows <- subset(mtcars, cyl == 4)
> num_mtcars_subset <- nrow(mtcars_subset_rows)
> print(num_mtcars_subset)
[1] 11
While the pipe operator can produce code that is easier to read, it is advisable to chain together at most 10-15 lines of code using this operator, as well as to chunk code into sub-tasks that are saved into objects having meaningful names.
The following is an example having fewer than 10 lines, which some readers may find difficult to grasp in the absence of intermediate named steps:
(\(x, n = 42, key = c(letters, LETTERS, " ", ":", ")"))
strsplit(x, "")[[1]] |>
(Vectorize(\(chr) which(chr == key) - 1))() |>
(`+`)(n) |>
(`%%`)(length(key)) |>
(\(i) key[i + 1])() |>
paste(collapse = "")
)("duvFkvFksnvEyLkHAErnqnoyr")
The output from the summary() function in the preceding code block is as follows:
Residuals:
1 2 3 4 5 6 7 8 9 10
3.3333 -0.6667 -2.6667 -2.6667 -0.6667 3.3333
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -9.3333 2.8441 -3.282 0.030453 *
x 7.0000 0.7303 9.585 0.000662 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 3.055 on 4 degrees of freedom
Multiple R-squared: 0.9583, Adjusted R-squared: 0.9478
F-statistic: 91.88 on 1 and 4 DF, p-value: 0.000662
To run this sample code, it is necessary to first install the package that provides the write.gif() function:
install.packages("caTools")
Microsoft R Open (MRO) was an R implementation. As of 30 June 2021, Microsoft began to phase out MRO in favor of the CRAN distribution.
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