For several efforts I\'m involved in at the moment, I am running large datasets with numerous parameter combinations through a series of functions. The functions have a wrap
You may well be able to manage graceful-exits-upon-timout using a combination of tryCatch()
and evalWithTimeout()
from the R.utils
package.
See also this post, which presents similar code and unpacks it in a bit more detail.
require(R.utils)
myFun <- function(x) {Sys.sleep(x); x^2}
## evalWithTimeout() times out evaluation after 3.1 seconds, and then
## tryCatch() handles the resulting error (of class "TimeoutException") with
## grace and aplomb.
myWrapperFunction <- function(i) {
tryCatch(expr = evalWithTimeout(myFun(i), timeout = 3.1),
TimeoutException = function(ex) "TimedOut")
}
sapply(1:5, myWrapperFunction)
# [1] "1" "4" "9" "TimedOut" "TimedOut"