similar to: Re: removing elements that aren't there -- options(check.bounds)

Matrix indexing seems to give rather "variable" results when zeros or negative values are included among the indices (in terms of both error messages and in terms of the number of returned values when there is no error message). Is this the intended behavior? I couldn't see any comments about zeros or negative values in matrix indices in either ?"[" or Section 3.4.2

On Nov 30, 2007, at 20:59, Jon Harrop wrote: > Does LLVM hoist bounds checks out of inner loops? In practice, LLVM is frequently going to have conservative behaviors which will prevent hoisting the explicit bounds checks your front-end must generate. Specifically, LLVM must use alias analysis to disprove the hypothesis that the array length variable is updated by the body of the loop.

Hi, From the R Language Definition, Section 3.4.1: "If i is positive and exceeds length(x) then the corresponding selection is NA. A negative out of bounds value for i causes an error." (This is also mentioned in S Programming, footnote of page 24.) Can someone please provide an example triggering the error? Looking in src/main/subscript.c I could not find exception handling for

[CC bollu, mferguson, shil] Am Do., 23. Mai 2019 um 17:13 Uhr schrieb Bardia Mahjour < bmahjour at ca.ibm.com>: > Thanks David and Michael for the clarification. > > I think I understand the rational behind those checks in delinearization > now. > > > Some other languages have stronger guarantees about their array > dimensions accesses being in range. But this being

R-Listers: I am doing a quasi-maximum likelihood estimation and I get a "subscript out of bound" error message, Typically I would think this means that a subscript used in the function is literally out of bounds however I don't think this is the case. All I change in the code is a constant, that is hard-wired in (not data dependent and not parameter dependent), furthermore,

Hello Yes, I agree that the SCEV cannot be simplified. Is my understanding correct that it is passed to a function like "isKnownNegative"? Which could still be able to prove is always true. The delinearisation may be valid, depending on exactly how you define delinearisation (under what conditions it should be giving results). It would be invalid for DA to return a dependency of [0

I want R to stop running a script (after printing an error message) when an array subscript larger than the length of the array is used, for example x = c(1) print(x[2]) rather than printing NA, since trying to access such an element may indicate an error in my program. Is there a way to get this behavior in R? Explicit testing with the is.na() function everywhere does not seem like a good

Source: xen Version: 4.4.1-9+deb8u1 Severity: serious Justification: fails to build from source Tags: sid stretch User: reproducible-builds at lists.alioth.debian.org Usertags: ftbfs X-Debbugs-CC: reproducible-builds at lists.alioth.debian.org Dear Maintainer, The package fails to build: symbols.c: In function ?symbols_lookup?: symbols.c:23:61: error: array subscript is above array bounds

Hi I am running a simulation that involves a loop calling three 2 functions that I have written. Everything works fine when the inside of the loop is performed up to 1000 times (for (i in 1:750)). However, I sometimes get : ''Error: subscript out of bounds'' if I try to increase the loop 'size' to 1000. I am thinking it has to to with memory but I am not sure. I have

I work with Windows, R version 2.4.1 I'm trying to do a discriminant analysis and, in trying to figure out how to do it following the example from R help, I'm getting an error that says 'subscript out of bounds'. I don't know what this means and how to solve it (I'm very new with R) I'm doing everything in this made-up test matrix: group var1 var2 var3 1 1

Hi, Could you please tell me how I correct the following error message? “Error in object$tables[[v]] : subscript out of bounds” This is the code: library(e1071) data(iris) attach(iris) class_label <- names(iris)[1] myformula <- formula(paste(class_label,"~ .")) mymodel<-naiveBayes(myformula, iris,cross=3) predict(mymodel,iris) ##Error in object$tables[[v]] :

This might be just beyond of my understanding of how assignment works in R, but the documentation does not say anything about: > tv <- c(a="dsf", b="sss") > tl <- list(232) > `$<-`(tl, tv[[1]], "sdfdsfdsfsd") Error: invalid subscript type 'language' This happens even before the method is dispatched. I can not handle the "name"

Hello, R-users,   I have a datafile with 37313 records and each record has 5 different measurements on the same variables. The format looks like this: treeID, VIG0, VIG1, VIG2, VIG3, VIG4 I was trying to convert the one row record to 5 rows record with format like this (treeID, MEASUREMENT, VIGOR). My code like this:   treeMeas<-matrix(data=0,nrow=(length(tree1$indivTree)*5), ncol=3)

Hi! Trying to make a forecast, and get the following error message: Error in NextMethod("[<-") : subscript out of bounds The script is as follows: > Forecast.A <- ts(matrix(NA, nrow=25, ncol = 1, + dimnames = list(c(), c("Outcome"))), + start = c(2006, 10), frequency = 12) > for (i in 1:25) { + j <- i + 321 + Data <- window(omxr, end = time(omxr)[j]) +

Hi all, I am a new user for R. I faced a questions about subscript out of bounds. Although I checked some other helps before I sent this email, I still don't know how to deal with this problems. I want to use "domain" function to run species distribution model in R. I used "sp.occ.do<-domain(env.pre, pred_train, factors=c('continent')) &

If you tell me how to update R itself automatically, I will go for your advice. I am not aware of any method to do it... Bye Rick "ONKELINX, Thierry"

Hi all, I've written a function for a simulation which will - in general operation without being specific to the simulation scenario, duplicate or delete columns from a matrix based on two values which determine how many as a proportion of the matrix: the two values are always between 0.01 and 0.99: Dup.Dels <- function(matrix, values){ p.dup <-

>>>>> "TL" == Thomas Lumley <tlumley@u.washington.edu> >>>>> on Sun, 6 Oct 2002 09:19:27 -0700 (PDT) writes: TL> On Sat, 5 Oct 2002 roxburg@kih.net wrote: >> This is not a bug report but didn't see another way to >> ask a question. TL> Well, you could try the r-help or r-devel mailing lists >> For

Dear all, I am trying to write a function for visualizing ordinal model results. The function works fine with some values, but then I get "Error: subscript out of bounds" even there the index should be pointing a legal item. Code is below as well as the example of failure: plotProb <- function(pre.mat, parts, split, titles, xlab="") { par(mfrow = split) n <- 1

I found a bug in one of the fourteen speed patches I posted, namely in patch-vec-subset. I've fixed this (I now see one does need to duplicate index vectors sometimes, though one can avoid it most of the time). I also split this patch in two, since it really has two different and independent parts. The patch-vec-subset patch now has only some straightforward (locally-checkable) speedups for