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> On Jun 8, 2018, at 11:52 AM, Hadley Wickham <h.wickham at gmail.com> wrote: > > On Fri, Jun 8, 2018 at 11:38 AM, Berry, Charles <ccberry at ucsd.edu> wrote: >> >> >>> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: >>> >>> Also the TRUEs cause problems if some dimensions are 0: >>>

Hmm. Chuck: I don't see how this example represents incomplete/incommensurate recycling. Doesn't TRUE replicate from length-1 to length-3 in this case (mat[c(TRUE,FALSE),2] would be an example of incomplete recycling)? William: clever, but maybe too clever unless you really need the speed? (The clever way is 8 times faster in the following case ...) x <- rep(1,1e6)

For the record please re-read my original message. It is clear, concise, polite and thankful for future help. I received a reply "Google it!". Thank you! Thank you Jeff for your links. I am aware of them. However, they do not point to an R package for GP for binary classification which produces prediction intervals. It seems that r-help is not as it was before. Wish you all the

I suspect this will have suboptimal performance since the TRUEs will get recycled. (Maybe there is, or could be, ALTREP, support for recycling) Hadley On Fri, Jun 8, 2018 at 10:16 AM, Berry, Charles <ccberry at ucsd.edu> wrote: > > >> On Jun 8, 2018, at 8:45 AM, Hadley Wickham <h.wickham at gmail.com> wrote: >> >> Hi all, >> >> Is there a better to

> On Jun 8, 2018, at 1:49 PM, Hadley Wickham <h.wickham at gmail.com> wrote: > > Hmmm, yes, there must be some special case in the C code to avoid > recycling a length-1 logical vector: Here is a version that (I think) handles Herve's issue of arrays having one or more 0 dimensions. subset_ROW <- function(x,i) { dims <- dim(x) index_list <-

> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: > > Also the TRUEs cause problems if some dimensions are 0: > > > matrix(raw(0), nrow=5, ncol=0)[1:3 , TRUE] > Error in matrix(raw(0), nrow = 5, ncol = 0)[1:3, TRUE] : > (subscript) logical subscript too long OK. But this is easy enough to handle. > > H. > > On

For the record: I **was** trying to be helpful. I simply didn't know whether "I struggled" meant that the OP had done a web search; as Chuck mentioned, when I did one, I found what looked like possibly helpful hits. The OP's hostile response frankly surprised me, but I see no reason to respond in kind. Cheers, Bert Bert Gunter "The trouble with having an open mind is

Hmmm, yes, there must be some special case in the C code to avoid recycling a length-1 logical vector: dims <- c(4, 4, 4, 1e5) arr <- array(rnorm(prod(dims)), dims) dim(arr) #> [1] 4 4 4 100000 i <- c(1, 3) bench::mark( arr[i, TRUE, TRUE, TRUE], arr[i, , , ] )[c("expression", "min", "mean", "max")] #> # A tibble: 2 x 4

In addition to what Charles wrote, you can also use 'local' if you don't want a function that creates another function. > f <- local({info <- 10; function(x) x + info}) > f(3) [1] 13 best, Mark Op vr 11 dec. 2015 om 03:27 schreef Charles C. Berry <ccberry at ucsd.edu>: > On Thu, 10 Dec 2015, Konrad Rudolph wrote: > > > I?ve got the following scenario:

Thank you Charles Berry for your kind reply. I don't see anything wrong with the word "struggling". I have spent several hours trying various R packages like kernlab and GPfit to use GP to create a binary classification model which produces a prediction interval for each sample. I have been struggling because with all of them you may create a GP classification model but it only

Hi everyone, I'm trying to use apply (with a call to zoo's rollapply within) on the columns of a 1.5Kx165K matrix, and I'd like to make use of the other cores on my machine to speed it up. (And hopefully also leave more memory free: I find that after I create a big object like this, I have to save my workspace and then close and reopen R to be able to recover memory tied up by R, but

While a plea about struggling may seem appropriate to you, it is just as content-free as a reply telling you to use Google... and like it or not, that tit-for-tat arises due to frustration with lack of specificity as detailed by Charles. That is, if you are constructive about documenting your issue with a reproducible example and mentioning what you have tried and how it failed, you won't

> On Jun 6, 2019, at 2:04 PM, Richard O'Keefe <raoknz at gmail.com> wrote: > > How can expanding tildes anywhere but the beginning of a file name NOT be > considered a bug? > > I think that that IS what libreadline is doing if one allows a whitespace separated list of file names. As reported in R-help, https://www.mail-archive.com/r-help at

Also the TRUEs cause problems if some dimensions are 0: > matrix(raw(0), nrow=5, ncol=0)[1:3 , TRUE] Error in matrix(raw(0), nrow = 5, ncol = 0)[1:3, TRUE] : (subscript) logical subscript too long H. On 06/08/2018 10:29 AM, Hadley Wickham wrote: > I suspect this will have suboptimal performance since the TRUEs will > get recycled. (Maybe there is, or could be, ALTREP,

On Fri, Jun 8, 2018 at 11:38 AM, Berry, Charles <ccberry at ucsd.edu> wrote: > > >> On Jun 8, 2018, at 10:37 AM, Herv? Pag?s <hpages at fredhutch.org> wrote: >> >> Also the TRUEs cause problems if some dimensions are 0: >> >> > matrix(raw(0), nrow=5, ncol=0)[1:3 , TRUE] >> Error in matrix(raw(0), nrow = 5, ncol = 0)[1:3, TRUE] : >>

On Fri, Jun 8, 2018 at 2:09 PM, Berry, Charles <ccberry at ucsd.edu> wrote: > > >> On Jun 8, 2018, at 1:49 PM, Hadley Wickham <h.wickham at gmail.com> wrote: >> >> Hmmm, yes, there must be some special case in the C code to avoid >> recycling a length-1 logical vector: > > > Here is a version that (I think) handles Herve's issue of arrays

I'm not sure why this is happening: tmp <- data.frame( a = letters[1:2], b=c(TRUE, FALSE), stringsAsFactors = FALSE ) idx <- matrix(c(1, 2, 2, 2), 2, byrow = TRUE) tmp[idx] [1] " TRUE" "FALSE" Notice there is a space before the TRUE: " TRUE". This space isn't happening purely because of coercion: c("blah", TRUE, FALSE) [1]

--begin inclusion -- I have a matched-case control dataset that I'm using conditional logistic regression (clogit in survival) to analyze. I'm trying to conduct k-folds cross validation on my top models but all of the packages I can find (CVbinary in DAAG, KVX) won't work with clogit models. Is there any easy way to do this in R? -end inclusion -- The clogit funciton is simply a

> On Nov 23, 2017, at 4:34 AM, Loris Bennett <loris.bennett at fu-berlin.de> wrote: > > Hi, > > TL;DR > ----- > > I define the path > > /cm/shared/apps/R/site-library/3.4.2 > > and add it to libPath. Why does libPath then display it as > > /cm/shared/apps/R/site-library/3.4 > > ? > Because it is a symbolic link.

> On May 27, 2018, at 10:31 PM, francesc badia roca <fbr600 at gmail.com> wrote: > > I have an issue using mle in versions of 32 bits. > > I am writing a package which I want to submit to the CRAN. > When doing the check, there is an example that has an error running in the > 32 bits version. > > The problem comes from the mle function, using it with a lower