similar to: Weird erratic error and illogical error message, could someone explain this?

I do think keeping the default behavior is desirable for backwards compatibility; my suggestion is not to change default behavior but to add an optional argument that allows a different behavior. Although this can be implemented in a user-defined function, retaining empty matches facilitates programmatic use, and seems to be something that should be available in base R. It is available, for

When I run R CMD check R.oo on R v2.7.0 devel (2008-03-04 r44677) on WinXP I get the following error while testing examples: Error in match(x, table, nomatch = 0) : formal argument "nomatch" matched by multiple actual arguments Calls: setMethodS3 -> setMethodS3.default -> %in% -> match Execution halted How is that even possible with: > get("%in%") function (x,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi Bryant, Thanks for your reply. It didn't work immediately, I had to create a second context, or else it was looping between the second and first line. This seems to work: [earlydial] ; Test Early Dial exten => _.,1,Set(l_Extension=${EXTEN}) exten => _.,n,Goto(earlydial2,${l_Extension},1) [earlydial2] exten => _.,n,Goto(noMatch,1)

Looking at the code of function 'table' in R devel r71227, I see that the part "remove NA level if it was added only for excluded in factor(a, exclude=.)" is not quite right. In is.na(a) <- match(a0, c(exclude,NA), nomatch=0L) , I think that what is intended is a[a0 %in% c(exclude,NA)] <- NA . So, it should be is.na(a) <- match(a0, c(exclude,NA),

Hi guys, For my MSc. thesis i am using R studio. The goal is for me to merge a couple (6) of relatively large datasets (min of 200.000 and max of 2mil rows). I have now been able to do so, however I think something might be going wrong in my codes. For reference, i have a dataset 1 (200.000), dataset 2 (600.000), dataset 3 (2mil) and dataset 4 (2mil) merged into one dataset of 4mil, and dataset 5

Suppose we have `dat` shown below and we want to find the the `y` value corresponding to the last value in `x` equal to the corresponding component of `seek` and we wish to return an output the same length as `seek` using `findInterval` to perform the search. This returns the correct result: dat <- data.frame(x = c(2, 2, 3, 4, 4, 4), y = c(37, 12, 19, 30, 6, 15), seek = 1:6)

Some issues: 1) Variable names cannot have spaces. "merged 1" is not valid but "merged_1" is a valid alternative. 2) You need to tell R what to merge by. It looks like you may be using data tables rather than a data frame. merged <- dataset2[dataset1, on = "id", nomatch = NA] 3) Alternatively: join functions from the dplyr package, cbind(), and rbind() can be used

Hi, Summary: I ran into some unexpected behavior in approx() and tapply() that introduced NA's in "clean" data due to (?) numerical accuracy/round off. The culprit seems to be in match() that coerces it's arguments to character, loosing precision in the process. [R development version 1.2.0, 08 Nov 2000, on Linux] Example: > r > [1] 0.6931472 0.6931472 0.6931472

Hi, Summary: I ran into some unexpected behavior in approx() and tapply() that introduced NA's in "clean" data due to (?) numerical accuracy/round off. The culprit seems to be in match() that coerces it's arguments to character, loosing precision in the process. [R development version 1.2.0, 08 Nov 2000, on Linux] Example: > r > [1] 0.6931472 0.6931472 0.6931472

hello, I need help because I don't understand the syntaxe "else" how can I write it for example I writed a script to cut missings values and I have errors > if(na==length(C)){ + pos=match(0,match(donGeno[[na-1]],donGeno[[na]],nomatch=0)) + for(k in 1:(na-1)) { + if(pos==1) {donGeno[[k]] <-

My code seems to break out with error below for every 1000 files it processes. Then I re-run from the last file where it errored out and it runs without any bugs. Any ideas what might cause error below? Error in match(x, table, nomatch = 0) : formal argument "nomatch" matched by multiple actual arguments -- View this message in context:

Good morning, the Icecast Project is very pleased to have released the next beta of Icecast, version 2.5 beta3. As this is a beta usage in production should be with caution. Please see the full news entry linked below for details. New features (extract): * Overall * Improved relay configuration including multi-upstream support * Improved directory configuration including updated

Good morning, the Icecast Project is very pleased to have released the next beta of Icecast, version 2.5 beta3. As this is a beta usage in production should be with caution. Please see the full news entry linked below for details. New features (extract): * Overall * Improved relay configuration including multi-upstream support * Improved directory configuration including updated

Here is some data (dput output below) > myData id group 1 D599 A 2 002-0004 B 3 F01932 A 18 F16 B 19

Hello, is there any plan for a binary (windows systems) release for the beta 3 or shall I wait for the public release out of beta stage? Thank you Best regards Il giorno lun 14 mar 2022 alle ore 11:59 Philipp Schafft < phschafft at de.loewenfelsen.net> ha scritto: > Good morning, > > the Icecast Project is very pleased to have released the next beta > of Icecast, version 2.5

Hello, is there any plan for a binary (windows systems) release for the beta 3 or shall I wait for the public release out of beta stage? Thank you Best regards Il giorno lun 14 mar 2022 alle ore 11:59 Philipp Schafft < phschafft at de.loewenfelsen.net> ha scritto: > Good morning, > > the Icecast Project is very pleased to have released the next beta > of Icecast, version 2.5

I came across the below mis-feature/bug using match with POSIXlt objects (from strptime) in R 2.11.1 (though this appears to be an old issue). > x <- as.POSIXlt(Sys.Date()) > table <- as.POSIXlt(Sys.Date()+0:5) > length(x) [1] 1 > x %in% table # I expect TRUE [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > match(x, table) # I expect 1 [1] NA NA NA NA NA NA NA NA

Hi, On 01/23/2015 07:01 AM, luke-tierney at uiowa.edu wrote: > On Thu, 22 Jan 2015, Michael Lawrence wrote: > >> On Thu, Jan 22, 2015 at 11:44 AM, <luke-tierney at uiowa.edu> wrote: >>> >>> For default methods there ought to be a way to create those so the >>> default method is computed at creation or load time and stored in an >>>

Full_Name: Georgi Boshnakov Version: 2.10.1pat OS: Windows XP Submission from: (NULL) (130.88.123.205) When calling programmatically function curve() from package:graphics I experienced some trouble since it reports stop("'expr' must be a function or an expression containing 'x'") even if expr is "expression". Naturally, the user message uses

Sometimes I write code like this: > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !pubid %in% c(104, 106, 107, 108)) and I get a little worried that maybe I've remembered the precedence rules wrong, so I change it to > qf.a <- subset(qf, pubid %in% c(104, 106, 107, 108)) > qf.b <- subset(qf, !(pubid %in% c(104, 106, 107, 108))) and pretty