for loop - R - use function n times on the same data set -

what efficient way apply function repetitively on same data set , give end result without using loop? e.g.

set.seed(123)  # create arbitrary data frame mydf <- data.frame(a = rbinom(10, 5, .5), b = rbinom(10, 8, .5))  # silly function foo <- function(df) {   df <- df * (1 + rnorm(1,0, .1))   df <- df + 5   df }  # repeat function 5 times in row on same data frame (i in c(1:5)) {   mydf <- foo(mydf)   mydf } 

answered @nrussel; example given, using recall() gives elegant code. speed-wise, similar for loop.

dofoo <- function(df, n) {             if (n == 0) return(df)             recall(foo(df), n - 1)          }  dofoo(mydf, 5)