My question might sound stupid but I have noticed that .
and %
is often used in R
and to be frank I don't really know why it is used.
I have seen it in dplyr
(go here for an example) and data.table
(i.e. .SD
) but I am sure it must be used in other place as well.
Therefore, my question is:
- What does
.
mean? Is it some kind ofR
coding best practice nomenclature? (i.e._functionName
is often used injavascript
to indicate it is a private function). If yes, what's the rule? - Same question for
%
, which is also often used in R (i.e.%in%
,%>%
,...).
My guess always has been that .
and %
are a convenient way to quickly call function but the way data.table
uses .
does not follow this logic, which confuses me.
.
has no inherent/magical meaning in R. It's just another character that you can use in symbol names. But because it is so convenient to type, it has been given special meaning by certain functions and conventions in R. Here are just a few.
is used look up S3 generic method implementations. For example, if you call a generic function likeplot
with an object of classlm
as the first parameter, then it will look for a function namedplot.lm
and, if found, call that..
in formulas means "all other variables", for examplelm(y~., data=dd)
will regressy
on all the other variables in the data.framedd
.dplyr
use it as a special variable name to indicate the current data.frame for methods likedo()
. They could just as easily have chosen to use the variable nameX
insteadbquote
use.()
as a special function to escape variables in expressionsls()
unless you callls(all.names=TRUE)
(similar to the UNIX file system behavior)However, you can also just define a variable named
my.awesome.variable<-42
and it will work just like any other variable.A
%
by itself doesn't mean anything special, but R allows you to define your own infix operators in the form%<something>%
using two percent signs. If you defineyou can call it like