similar to: pmax and long vector

Kasper, If you're not interested or dont have time to create said patch yourself let me know and i can do it. Best, ~G On Mon, Jan 21, 2019, 11:36 AM Duncan Murdoch <murdoch.duncan at gmail.com wrote: > On 21/01/2019 12:35 p.m., Kasper Daniel Hansen wrote: > > I see that base::pmax() does not support long vectors. > > > > Is R-devel interested in reports like this;

Gabe, I don't (yet) know much about long vectors at the C level. So feel free to address this. Duncan, I'll see what I can do regarding systematically compiling a list of functions without long vector support. These days I frequently work with big enough matrices that I need it. On Mon, Jan 21, 2019 at 3:09 PM Gabriel Becker <gabembecker at gmail.com> wrote: > Kasper, > >

On 21/01/2019 12:35 p.m., Kasper Daniel Hansen wrote: > I see that base::pmax() does not support long vectors. > > Is R-devel interested in reports like this; ie. is there a goal of full > support for long vectors in "basic" functions, something I at least would > greatly appreciate? > > MRE: > >> pmax(rep(1L, 3*10^9), 0) > > Error in pmax(rep(1L,

Hello, I'm trying to override pmin and pmax for my own matrix. These two functions have ... as an argument. I tried to override them as follows: setMethod("pmax", class_name, function(x, ..., na.rm) { ... }) I use this way to override primitive functions such as min/max and it works fine. But it doesn't work for pmin and pmax. I guess because they are regular functions? How

The documentation says, "pmax and pmin take several vectors as arguments and return a single vector giving the parallel maxima (or minima) of the vectors." I discovered that, if you use a matrix or array instead of a vector, pmax returns a matrix or array, respectively. This makes pmax and pmin much more useful, and should not be left to people to discover on their own! For example:

Extremes.Rd, that documents 'max' and 'pmax', has this in "Details" section, in the paragraph before the last. By definition the min/max of a numeric vector containing an NaN is NaN, except that the min/max of any vector containing an NA is NA even if it also contains an NaN. ------------------ >>>>> Michal Burda <michal.burda at centrum.cz>

Hi, Please consider the following : x = c(1,3,NA,5) y = c(2,NA,4,1) min(x,y,na.rm=TRUE) # ok [1] 1 max(x,y,na.rm=TRUE) # ok [1] 5 sum(x,y,na.rm=TRUE) # ok [1] 16 pmin(x,y,na.rm=TRUE) # ok [1] 1 3 4 1 pmax(x,y,na.rm=TRUE) # ok [1] 2 3 4 5 psum(x,y,na.rm=TRUE) [1] 3 3 4 6 # expected result Error: could not find function "psum" # actual result

Dear R users, is the following OK? > max(NA, NaN) [1] NA > max(NaN, NA) [1] NA > pmax(NaN, NA) [1] NA > pmax(NA, NaN) [1] NaN ...or is it a bug? Documentation says that NA has a higher priority over NaN. Best regards, Michal Burda [[alternative HTML version deleted]]

# I have a dataframe in the following form: track <- c(rep('A', 3), rep('B', 4), rep('C', 4)) value <- c(0.15, 0.25, 0.35, 0.05, 0.99, 0.32, 0.13, 0.80, 0.75, 0.60, 0.44) df <- data.frame(track=factor(track), value=value) #> print(df) #track value #1 A 0.15 #2 A 0.25 #3 A 0.35 #4 B 0.05 #5 B 0.99 #6 B 0.32 #7 B 0.13

Valgrind (without gctorture) reports memory misuse: % R --debugger=valgrind --debugger-args="--leak-check=full --num-callers=18" ... > x <- 1:200000 > y <- rep(letters[1:5], length(x) / 5L) > for (i in 1:1000) { + # x[y == 'a'] <- x[y == 'b'] + x <- `[<-`(x, y == 'a', x[y == 'b']) + cat(i, '') + } 1 2 3 4 5 6 7 8 9 10

Hi, I am running R 3.3.3 and getting the following error: Error in add_edges(res, edges = t(as.matrix(el[, 1:2])), attr = weight) : long vectors not supported yet: ../../src/include/Rinlinedfuns.h:138 when passing a 13 GB TransitionLayer object to shortestPath from the package 'gdistance'. The error, albeit in a different context, is discussed here:

Based on some testing it seems to me that if I have a package with a dataset in /data a Sweave vignette in inst/doc (but no associated pdf file) the vignette loads the data in /data through data(dataset) and I do a R CMD build R will try to build the pdf version of the vignette, but will be unable to find the dataset in data because the package is not yet installed. However, if I do

A few hours ago, I was making a small point on the R-SIG-robust mailing list on the point that ifelse() was not too efficient in a situation where pmax() could easily be used instead. However, this has reminded me of some timing experiments that I did 13 years ago with S-plus -- where I found that pmin() / pmax() were really relatively slow for the most common case where they are used with only

Hello R users, I am relatively new to R and cannot seem to crack a coding problem. I am working with substance abuse data, and I have a variable called "primary.drug" which is considered the drug of choice for each subject. I have just a few missing values on that variable. Instead of using a multiple imputation method like chained equations, I would prefer to derive these

Yes, functions like c, min and max are special cases, as they are primitives. For ordinary functions, you just need to promote them with "..." as the signature: setGeneric("pmax", signature="...") setMethod("pmax", "Class", function(..., na.rm=FALSE) { }) One caveat is that all arguments passed via "..." must derive from the class

This looks to me like a package development issue... which may be under discussion in R-sig-geo (search the archives), but more likely to be appropriate to discuss with the maintainer by email or through their development repository (R-forge, though it looks unused). -- Sent from my phone. Please excuse my brevity. On February 14, 2018 7:43:51 AM PST, Loris Bennett <loris.bennett at

Hi Jeff, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> writes: >> Hi, >> >> I am running R 3.3.3 and getting the following error: >> >> Error in add_edges(res, edges = t(as.matrix(el[, 1:2])), attr = weight) >> : >> long vectors not supported yet: ../../src/include/Rinlinedfuns.h:138 >> >> when passing a 13 GB TransitionLayer

>>>>> Anupam Tyagi >>>>> on Tue, 9 Jul 2024 16:16:43 +0530 writes: > How can I do automatic knot selection while fitting piecewise linear > splines to two variables x and y? Which package to use to do it simply? I > also want to visualize the splines (and the scatter plot) with a graph. > Anupam NB: linear splines, i.e. piecewise

Hello, After some fuzz testing I found a problem with Rf_isVector() function in R 3.5.0. Platform: Ubuntu 16.04 Compiler: Clang-4.0 (from Ubuntu's repository) + ASAN Crashing R code:

dear all, I apologize for my delay in replying you. Here my contribution, maybe just for completeness: Similar to "earth", "segmented" also fits piecewise linear relationships with the number of breakpoints being selected by the AIC or BIC (recommended). #code (example and code from Martin Maechler previous email) library(segmented) o<-selgmented(y, ~x, Kmax=20,