```{js, echo=FALSE} // redirect from CRAN to my personal website if (location.protocol === 'https:' && location.href.match('yihui.org') === null) location.href = 'https://yihui.org/formatr/';
```r options(formatR.indent = 4, width = 70) knitr::opts_chunk$set(tidy = TRUE)
You can install formatR from CRAN, or yihui.r-universe.dev if you want to test the latest development version:
install.packages('formatR', repos = 'http://cran.rstudio.com') # or development version options(repos = c( yihui = 'https://yihui.r-universe.dev', CRAN = 'https://cloud.r-project.org' )) install.packages('formatR')
Or check out the Github repository and install from source if you know what this means. This page is always based on the development version.
library(formatR) sessionInfo()
The formatR package was designed to reformat R code to improve readability;
the main workhorse is the function tidy_source()
. Features include:
else
statement on a separate line without the leading }
will be moved
one line back;=
as an assignment operator can be substituted with <-
;%>%
can be substituted with |>
;{
can be moved to a new line;%>%
and R's
native pipe |>
are supported).Below is an example of what tidy_source()
can do. The source code is:
## comments are retained; # a comment block will be reflowed if it contains long comments; #' roxygen comments will not be wrapped in any case 1+1 if(TRUE){ x=1 # inline comments }else{ x=2;print('Oh no... ask the right bracket to go away!')} 1*3 # one space before this comment will become two! 2+2+2 # only 'single quotes' are allowed in comments lm(y~x1+x2, data=data.frame(y=rnorm(100),x1=rnorm(100),x2=rnorm(100))) ### a linear model 1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1+1 # comment after a long line ## here is a long long long long long long long long long long long long long comment that may be wrapped
We can copy the above code to clipboard, and type
tidy_source(width.cutoff = 50)
to get:
Two applications of tidy_source()
:
tidy_dir()
can reformat all R scripts under a directory
usage()
can reformat the usage of a function, e.g. compare usage()
with
the default output of args()
:
r
library(formatR)
usage(glm, width = 40) # can set arbitrary width here
args(glm)
If the shiny packages has been installed, the function tidy_app()
can
launch a Shiny app to reformat R code like this (live demo at
https://yihui.shinyapps.io/formatR/
):
formatR::tidy_app()
if (ignore_img <- !is.na(Sys.getenv('_R_CHECK_PACKAGE_NAME_', NA))) cat('<!--')
After hitting the Format
button:
if (ignore_img) cat('\n-->')
It is often a pain when trying to copy R code from other people's code which has
been run in R and the prompt characters (usually >
) are attached in the
beginning of code, because we have to remove all the prompts >
and +
manually before we are able to run the code. However, it will be convenient for
the reader to understand the code if the output of the code can be attached.
This motivates the function tidy_eval()
, which uses tidy_source()
to
reformat the source code, evaluates the code in chunks, and attaches the output
of each chunk as comments which will not actually break the original source
code. Here is an example:
set.seed(123) tidy_eval(text = c("a<-1+1;a # print the value", "matrix(rnorm(10),5)"))
The default source of the code is from clipboard like tidy_source()
, so we can
copy our code to clipboard, and simply run this in R:
library(formatR) tidy_eval() # without specifying any arguments, it reads code from clipboard
We continue the example code in Section 2, using different arguments in
tidy_source()
such as arrow
, blank
, indent
, brace.newline
and
comment
, etc.
=
with <-
Note the 5th line (an empty line) was discarded:
With args.newline = TRUE
, the example code below
shiny::updateSelectizeInput(session, "foo", label = "New Label", selected = c("A", "B"), choices = LETTERS, server = TRUE)
will be reformatted to:
%>%
and |>
Since formatR 1.9, code lines contains operators |>
, %>%
, %T%
, %$%
,
and/or %<>%
will be automatically wrapped after these operators. For example,
mtcars %>% subset(am == 0) %>% lm(mpg~hp, data=.)
will be reformatted to:
{
to new linesThe tricks used in this packages are very dirty. There might be dangers in using
the functions in formatR. Please read the next section carefully to know
exactly how comments are preserved. The best strategy to avoid failure is to put
comments in complete lines or after complete R expressions. Below are some
known cases in which tidy_source()
fails.
1 + 2 + ## comments after an incomplete line 3 + 4 x <- ## this is not a complete expression 5 x <- 1; # you should not use ; here!
Code with comments after incomplete R expression cannot be reformatted by
formatR. By the way, tidy_source()
will move comments after {
to the
next line, e.g.,
if (TRUE) {## comments }
will become
Blank lines are often used to separate complete chunks of R code, and arbitrary
blank lines may cause failures in tidy_source()
as well when the argument
blank = TRUE
, e.g.
if (TRUE) {'this is a BAD style of R programming!'} else 'failure!'
There should not be a blank line after the if
statement. Of course
blank = FALSE
will not fail in this case.
?
with commentsWe can use the question mark (?
) to view the help page, but formatR
package is unable to correctly format the code using ?
with comments, e.g.
?sd # help on sd()
In this case, it is recommended to use the function help()
instead of the
short-hand version ?
.
tidy_source()
actually work?In a nutshell, tidy_source(text = code)
is basically
deparse(parse(text = code))
, but actually it is more complicated only because
of one thing: deparse()
drops comments, e.g.,
deparse(parse(text = '1+2-3*4/5 # a comment'))
The method to preserve comments is to protect them as strings in R expressions. For example, there is a single line of comments in the source code:
# asdf
It will be first masked as
invisible(".IDENTIFIER1 # asdf.IDENTIFIER2")
which is a legal R expression, so base::parse()
can deal with it and will no
longer remove the disguised comments. In the end the identifiers will be removed
to restore the original comments, i.e. the strings invisible(".IDENTIFIER1
and
.IDENTIFIER2")
are substituted with empty strings.
Inline comments are handled differently: two spaces will be added before the
hash symbol #
, e.g.
1+1# comments
will become
1+1 # comments
Inline comments are first disguised as a weird operation with its preceding R code, which is essentially meaningless but syntactically correct! For example,
1+1 %\b% "# comments"
then base::parse()
will deal with this expression; again, the disguised
comments will not be removed. In the end, inline comments will be freed as well
(remove the operator %\b%
and surrounding double quotes).
All these special treatments to comments are due to the fact that
base::parse()
and base::deparse()
can tidy the R code at the price of
dropping all the comments.
There are global options which can override some arguments in tidy_source()
:
| argument | global option | default |
|-----------------|------------------------------------|--------------------|
| comment
| options('formatR.comment')
| TRUE
|
| blank
| options('formatR.blank')
| TRUE
|
| arrow
| options('formatR.arrow')
| FALSE
|
| pipe
| options('formatR.pipe')
| FALSE
|
| indent
| options('formatR.indent')
| 4
|
| wrap
| options('formatR.wrap')
| TRUE
|
| width.cutoff
| options('formatR.width')
| options('width')
|
| brace.newline
| options('formatR.brace.newline')
| FALSE
|
| args.newline
| options('formatR.args.newline')
| FALSE
|
Also note that single lines of long comments will be wrapped into shorter ones
automatically when wrap = TRUE
, but roxygen comments will not be wrapped
(i.e., comments that begin with #'
).
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