>>>>> Henrik Bengtsson <henrik.bengts...@gmail.com> >>>>> on Tue, 13 Mar 2018 10:12:55 -0700 writes:
> FYI, in R devel (to become 3.5.0), there's isFALSE() which will cut > some corners compared to identical(): > > microbenchmark::microbenchmark(identical(FALSE, FALSE), isFALSE(FALSE)) > Unit: nanoseconds > expr min lq mean median uq max neval > identical(FALSE, FALSE) 984 1138 1694.13 1218.0 1337.5 13584 100 > isFALSE(FALSE) 713 761 1133.53 809.5 871.5 18619 100 > > microbenchmark::microbenchmark(identical(TRUE, FALSE), isFALSE(TRUE)) > Unit: nanoseconds > expr min lq mean median uq max neval > identical(TRUE, FALSE) 1009 1103.5 2228.20 1170.5 1357 14346 100 > isFALSE(TRUE) 718 760.0 1298.98 798.0 898 17782 100 > > microbenchmark::microbenchmark(identical("array", FALSE), isFALSE("array")) > Unit: nanoseconds > expr min lq mean median uq max neval > identical("array", FALSE) 975 1058.5 1257.95 1119.5 1250.0 9299 100 > isFALSE("array") 409 433.5 658.76 446.0 476.5 9383 100 Thank you Henrik! The speed of the new isTRUE() and isFALSE() is indeed amazing compared to identical() which was written to be fast itself. Note that the new code goes back to a proposal by Hervé Pagès (of Bioconductor fame) in a thread with R core in April 2017. The goal of the new code actually *was* to allow call like isTRUE(c(a = TRUE)) to become TRUE rather than improving speed. The new source code is at the end of R/src/library/base/R/identical.R ## NB: is.logical(.) will never dispatch: ## -- base::is.logical(x) <==> typeof(x) == "logical" isTRUE <- function(x) is.logical(x) && length(x) == 1L && !is.na(x) && x isFALSE <- function(x) is.logical(x) && length(x) == 1L && !is.na(x) && !x and one *reason* this is so fast is that all 6 functions which are called are primitives : > sapply(codetools::findGlobals(isTRUE), function(fn) is.primitive(get(fn))) ! && == is.logical is.na length TRUE TRUE TRUE TRUE TRUE TRUE and a 2nd reason is probably with the many recent improvements of the byte compiler. > That could probably be used also is sapply(). The difference is that > isFALSE() is a bit more liberal than identical(x, FALSE), e.g. > > isFALSE(c(a = FALSE)) > [1] TRUE > > identical(c(a = FALSE), FALSE) > [1] FALSE > Assuming the latter is not an issue, there are 69 places in base R > where isFALSE() could be used: > $ grep -E "identical[(][^,]+,[ ]*FALSE[)]" -r --include="*.R" | grep -F "/R/" > | wc > 69 326 5472 > and another 59 where isTRUE() can be used: > $ grep -E "identical[(][^,]+,[ ]*TRUE[)]" -r --include="*.R" | grep -F "/R/" > | wc > 59 307 5021 Beautiful use of 'grep' -- thank you for those above, as well. It does need a quick manual check, but if I use the above grep from Emacs (via 'M-x grep') or even better via a TAGS table and M-x tags-query-replace I should be able to do the changes pretty quickly... and will start looking into that later today. Interestingly and to my great pleasure, the first part of the 'Subject' of this mailing list thread, "Possible Improvement", *has* become true after all -- -- thanks to Henrik ! Martin Maechler ETH Zurich > On Tue, Mar 13, 2018 at 9:21 AM, Doran, Harold <hdo...@air.org> wrote: > > Quite possibly, and I’ll look into that. Aside from the work I was doing, > > however, I wonder if there is a way such that sapply could avoid the > > overhead of having to call the identical function to determine the > > conditional path. > > > > > > > > From: William Dunlap [mailto:wdun...@tibco.com] > > Sent: Tuesday, March 13, 2018 12:14 PM > > To: Doran, Harold <hdo...@air.org> > > Cc: Martin Morgan <martin.mor...@roswellpark.org>; r-help@r-project.org > > Subject: Re: [R] Possible Improvement to sapply > > > > Could your code use vapply instead of sapply? vapply forces you to declare > > the type and dimensions > > of FUN's output and stops if any call to FUN does not match the > > declaration. It can use much less > > memory and time than sapply because it fills in the output array as it goes > > instead of calling lapply() > > and seeing how it could be simplified. > > > > Bill Dunlap > > TIBCO Software > > wdunlap tibco.com<http://tibco.com> > > > > On Tue, Mar 13, 2018 at 7:06 AM, Doran, Harold > > <hdo...@air.org<mailto:hdo...@air.org>> wrote: > > Martin > > > > In terms of context of the actual problem, sapply is called millions of > > times because the work involves scoring individual students who took a > > test. A score for student A is generated and then student B and such and > > there are millions of students. The psychometric process of scoring > > students is complex and our code makes use of sapply many times for each > > student. > > > > The toy example used length just to illustrate, our actual code doesn't do > > that. But your point is well taken, there may be a very good counterexample > > why my proposal doesn't achieve the goal is a generalizable way. > > [.................] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.