similar to: Help page on '$': 'warnPartialMatchAttr' should be 'warnPartialMatchDollar'

Hi all (but especially Kurt), Would it be possible to have a flag to R CMD check that warned on partial all matches, i.e. turning on: options( warnPartialMatchDollar = TRUE, warnPartialMatchArgs = TRUE, warnPartialMatchAttr = TRUE ) I think this is good practice for package code. I don't think it can currently be made part of the default (because sometimes the warnings come from

The statement in R devel: There is no \code{data.frame} method for \code{$}, so \code{x$name} uses the default method which treats \code{x} as a list (with no partial matching of column names). The replacement method (for \code{$}) checks \code{value} for the correct number of rows, and replicates it if necessary. The added "(with no partial matching of column names)" is wrong.

Hello, I'm seeing a nuisance warning when I run `R CMD check --as-cran whatever_x.y.z.tar.gz`. I generally work with these options set: options( warnPartialMatchArgs = TRUE, warnPartialMatchAttr = TRUE, warnPartialMatchDollar = TRUE ) And I see this: * checking use of SHLIB_OPENMP_*FLAGS in Makefiles ...Warning in dir("src", patt = "[.]c$") : partial argument

I found this part in the documentation of 'factor'. 'factor(x, exclude=NULL)' applied to a factor is a no-operation unless there are unused levels: in that case, a factor with the reduced level set is returned. If 'exclude' is used it should also be a factor with the same level set as 'x' or a set of codes for the levels to be excluded.

I have suggestions for function 'diff.default' in R. Suggestion 1: If the input is matrix, always return matrix, even if empty. What happens in R 2.15.2: > rbind(1:2) # matrix [,1] [,2] [1,] 1 2 > diff(rbind(1:2)) # not matrix integer(0) > sessionInfo() R version 2.15.2 (2012-10-26) Platform: i386-w64-mingw32/i386 (32-bit) locale: [1] LC_COLLATE=English_United

By "an argument named 'use.names' is included for concatenation", I meant something like this, that someone might try. > c(as.Date("2016-01-01"), use.names=FALSE) use.names "2016-01-01" "1970-01-01" See, 'use.names' is in the output. That's precisely because 'c.Date' doesn't have 'use.names', so

Removal of ans[nas] <- NA from the code of function 'ifelse' in R is not committed (yet). Why? -------------------------------------------- On Mon, 28/11/16, Martin Maechler <maechler at stat.math.ethz.ch> wrote: Subject: Re: [Rd] ifelse() woes ... can we agree on a ifelse2() ? Cc: R-devel at r-project.org, maechler at stat.math.ethz.ch Date: Monday, 28 November, 2016, 10:00

Yes, they work now. I mentioned them partly because the commit description said overflow for large n and partly to be considered for regression tests. -------------------------------------------- On Sat, 19/8/17, Martin Maechler <maechler at stat.math.ethz.ch> wrote: Subject: Re: [Rd] Issues of R_pretty in src/appl/pretty.c Cc: r-devel at r-project.org Date: Saturday, 19 August, 2017,

In example for function 'stop' in R, there is options(error = expression(NULL)) with comment # don't stop on stop(.) << Use with CARE! >> I was interested, wanted to know how "don't stop on stop(.)" was. So, I tried it. Typing example(stop) at the R prompt and pressing ENTER give this. > example(stop) stop> options(error = expression(NULL))

In R 2.15.2 (and not before), in the definition of function 'diffinv.vector' in package stats, there is difference <- as.integer(differences) I believe differences <- as.integer(differences) is intended, because 'difference' is not referenced anywhere. However, without conversion of 'differences' to integer, 'diffinv.vector' in R 2.15.2 works OK. Also,

Here is a patch to function 'stopifnot' that adds 'evaluated' argument and makes 'exprs' argument in 'stopifnot' like 'exprs' argument in 'withAutoprint'. --- stop.R 2019-05-30 14:01:15.282197286 +0000 +++ stop_new.R 2019-05-30 14:01:51.372187466 +0000 @@ -31,7 +31,7 @@ .Internal(stop(call., .makeMessage(..., domain = domain))) }

I am trying once again. By just changing f <- match(xlevs[f], nlevs) to f <- match(xlevs, nlevs)[f] , function 'factor' in R devel could be made more consistent and back-compatible. Why not picking it? -------------------------------------------- On Sat, 25/11/17, Suharto Anggono Suharto Anggono <suharto_anggono at yahoo.com> wrote: Subject: Re: [Rd] Function

\b is word boundary. But, unexpectedly, strsplit("dia ma", "\\b") splits character by character. > strsplit("dia ma", "\\b") [[1]] [1] "d" "i" "a" " " "m" "a" > strsplit("dia ma", "\\b", perl=TRUE) [[1]] [1] "d" "i" "a" " "

useNA <- if (missing(useNA) && !missing(exclude) && !(NA %in% exclude)) "ifany" An example where it change 'table' result for non-factor input, from https://stat.ethz.ch/pipermail/r-help/2005-April/069053.html : x <- c(1,2,3,3,NA) table(as.integer(x), exclude=NaN) I bring the example up, in case that the change in result is not intended.

While doing some performance testing with the new version of pqR (see pqR-project.org), I've encountered an extreme, and quite unnecessary, inefficiency in the current R Core implementation of R, which I think you might want to correct. The inefficiency is in access to columns of a data frame, as in expressions such as df$col[i], which I think are very common (the alternatives of

Another possible shortcut definition: assert <- function(exprs) do.call("stopifnot", list(exprs = substitute(exprs), local = parent.frame())) After thinking again, I propose to use ??? ? ? stop(simpleError(msg, call = if(p <- sys.parent()) sys.call(p))) - It seems that the call is the call of the frame where stopifnot(...) is evaluated. Because that is the correct context, I

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Mon, 15 Aug 2016 11:07:43 +0200 writes: >>>>> Suharto Anggono Suharto Anggono <suharto_anggono at yahoo.com> >>>>> on Sun, 14 Aug 2016 03:42:08 +0000 writes: >> useNA <- if (missing(useNA) && !missing(exclude) && !(NA %in%

> > I think you might want to just delete the definition of $.data.frame, > > reverting to the situation before R-3.1.0. > > I imagine the cause is that the list version is done in C code rather > than R code (i.e. there's no R function `$.list`). So an alternative > solution would be to also implement `$.data.frame` in the underlying C > code. This won't

Hello. First, I'm thankful about your wonderful project. However, I have serious worries about the reliability of R. I found the next bug which I consider important because in my job everytime We work with datanames like next. Please see below: b=data.frame(matrix(1:9,ncol=3)) names(b)=c("q99","r88","s77") >b q99 r88 s77 1 1 4 7 2 2 5 8 3

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),