I have a question regarding passing multiple arguments to a function, when using lapply
in R
.
When I use lapply with the syntax of lapply(input, myfun);
- this is easily understandable, and I can define myfun like that:
myfun <- function(x) {
# doing something here with x
}
lapply(input, myfun);
and elements of input
are passed as x
argument to myfun
.
But what if I need to pass some more arguments to myfunc
? For example, it is defined like that:
myfun <- function(x, arg1) {
# doing something here with x and arg1
}
How can I use this function with passing both input
elements (as x
argument) and some other argument?
You can do it in the following way:
myfxn <- function(var1,var2,var3){
var1*var2*var3
}
lapply(1:3,myfxn,var2=2,var3=100)
and you will get the answer:
[[1]] [1] 200
[[2]] [1] 400
[[3]] [1] 600
As suggested by Alan, function 'mapply' applies a function to multiple Multiple Lists or Vector Arguments:
mapply(myfun, arg1, arg2)
See man page: https://stat.ethz.ch/R-manual/R-devel/library/base/html/mapply.html
myfun <- function(x, arg1) {
# doing something here with x and arg1
}
x
is a vector or a list and myfun
in lapply(x, myfun)
is called for each element of x
separately.
Option 1
If you'd like to use whole arg1
in each myfun
call (myfun(x[1], arg1)
, myfun(x[2], arg1)
etc.), use lapply(x, myfun, arg1)
(as stated above).
Option 2
If you'd however like to call myfun
to each element of arg1
separately alongside elements of x
(myfun(x[1], arg1[1])
, myfun(x[2], arg1[2])
etc.), it's not possible to use lapply
. Instead, use mapply(myfun, x, arg1)
(as stated above) or apply
:
apply(cbind(x,arg1), 1, myfun)
or
apply(rbind(x,arg1), 2, myfun).
Source: Stackoverflow.com