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...Cluster(cl) do.call(c, clusterApply(cl = cl, x = splitList(X, length(cl)), fun = lapply, fun, ...), quote = TRUE) } . Best regards, Florian ? Gesendet:?Mittwoch, 14. M?rz 2018 um 19:05 Uhr Von:?"Henrik Bengtsson" <henrik.bengtsson at gmail.com> An:?"Florian Schwendinger" <Florian_Schwendinger at gmx.at> Cc:?fschwend at wu.ac.at, R-devel <r-devel at r-project.org> Betreff:?Re: [Rd] clusterApply arguments This is nothing specific to parallel::clusterApply() per se. It is the default behavior of R where it allows for partial argument names. I don'...

On 03/15/2018 05:25 PM, Henrik Bengtsson wrote: > On Thu, Mar 15, 2018 at 3:39 AM, <FlorianSchwendinger at gmx.at> wrote: >> Thank you for your answer! >> I agree with you except for the 3 (Error) example and >> I realize now I should have started with that in the explanation. >> >> From my point of view >> parLapply(cl = clu, X = 1:2, fun = fun, c = 1) >&gt...

Hi! I recognized that the argument matching of clusterApply (and therefore parLapply) goes wrong when one of the arguments of the function is called "c". In this case, the argument "c" is used as cluster and the functions give the following error message "Error in checkCluster(cl) : not a valid cluster". Of course, "c" is for many reasons an unfortunate

>>>>> Duncan Murdoch >>>>> on Sun, 26 Mar 2023 12:41:03 -0400 writes: > On 26/03/2023 11:54 a.m., J C Nash wrote: >> A tangential email discussion with Simon U. has >> highlighted a long-standing matter that some tools in the >> base R distribution are outdated, but that so many >> examples and other tools may use

On Thu, Mar 15, 2018 at 3:39 AM, <FlorianSchwendinger at gmx.at> wrote: > Thank you for your answer! > I agree with you except for the 3 (Error) example and > I realize now I should have started with that in the explanation. > > From my point of view > parLapply(cl = clu, X = 1:2, fun = fun, c = 1) > shouldn't give an error...

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

...:2, fun = fun, c = 1) ## Error Warning in clusterApply(clu, x = 1:2, fun = fun, c = 1) : partial argument match of 'c' to 'cl' Error in checkCluster(cl) : not a valid cluster It's still only a warning, but an informative one. /Henrik On Wed, Mar 14, 2018 at 8:50 AM, Florian Schwendinger <Florian_Schwendinger at gmx.at> wrote: > Hi! > > I recognized that the argument matching of clusterApply (and therefore parLapply) goes wrong when one of the arguments of the function is called "c". In this case, the argument "c" is used as cluster and the functi...

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]