similar to: is.vector could handle AsIs class better

Displaying 20 results from an estimated 10000 matches similar to: "is.vector could handle AsIs class better"

2020 Mar 30
1
is.vector could handle AsIs class better
Thank you Gabriel, Agree, although I think that could be relaxed in this single case and AsIs class could be ignored. Best, Jan On Sun, Mar 29, 2020 at 7:09 PM Gabriel Becker <gabembecker at gmail.com> wrote: > > Jan, > > I believe it's because it has "a non-NULL attribute other than names" as per the documentation. In this case its class of "AsIs". >
2022 Oct 29
1
tools:: extracting pkg dependencies from DCF
Thank you Gabriel, Just for future readers. Below is a base R way to address this common problem, as instructed by you (+stopifnot to suppress print). Rscript -e 'stopifnot(file.copy("DESCRIPTION", file.path(tdir<-tempdir(), "PACKAGES"))); db<-available.packages(paste0("file://", tdir));
2019 Dec 19
1
head/tail breaking change
Thank you Gabriel, I agree that new behaviour makes much more sense. Just wanted to confirm before resolving compatibility of my unit tests. Best, Jan On Wed 18 Dec, 2019, 10:46 PM Gabriel Becker, <gabembecker at gmail.com> wrote: > Jan, > > That is an intentional change as you can see in the documentation for > head/tail in R-devel. Last time I discussed it with Martin, this
2019 Dec 18
2
head/tail breaking change
Hi R-devel community, I am aware of changes in R-devel in head/tail methods but I was not expecting that to be a breaking change. # R 3.6.1 ar = array(1:27, c(3,3,3)) tail(ar, 1) #[1] 27 The current output of R-devel is something that I would expect from a tail(ar, c(1, Inf, Inf)) or tail(ar, c(1, NA, NA)) calls. Is it going to stay like this or there are plans to mitigate this breaking
2010 Jan 16
1
order() fails on a chr object of class "AsIs" with "\265" in it
Here's an example (session info at the end). > tmpv <- c('\265g/L','Bq/L') > order(tmpv) [1] 2 1 > tmpv <- I(tmpv) > order(tmpv) Error in if (xi > xj) 1L else -1L : missing value where TRUE/FALSE needed > foov <- gsub('\265','',tmpv) > order(foov) [1] 2 1 > str(tmpv) Class 'AsIs' chr [1:2] "\265g/L"
2024 Jul 14
2
xftrm is more than 100x slower for AsIs than for character vectors
? Fri, 12 Jul 2024 17:35:19 +0200 Hilmar Berger via R-devel <r-devel at r-project.org> ?????: > This can be finally traced to base::rank() (called from > xtfrm.default), where I found that > > "NB: rank is not itself generic but xtfrm is, and rank(xtfrm(x), ....) > will have the desired result if there is a xtfrm method. Otherwise, > rank will make use of ==, >,
2024 Jul 12
1
xftrm is more than 100x slower for AsIs than for character vectors
Good evening, I recently have observed slow merges when combining multiple data frames derived from DataFrame and base::data.frame. I observed that the index column of intermediate tables was of class <AsIs> (automatically converted from character). The problem occurred mainly when using the sorted = T option in base::merge. This can be traced to xtfrm.AsIs being more than 100 times slower
2019 Nov 17
2
Inappropriate class(o)[!inherits(o,"AsIs")] in get_all_vars
SVN?revision?77401?changes ????????x[isM]?<-?lapply(x[isM],?function(o)?`class<-`(o,?class(o)[class(o)?!=?"AsIs"])) to ????????x[isM]?<-?lapply(x[isM],?function(o)?`class<-`(o,?class(o)[!inherits(o,"AsIs")])) in?function?'get_all_vars'?in?src/library/stats/R/models.R?in?R?devel. The?change?is?inappropriate.
2019 Nov 18
2
Inappropriate class(o)[!inherits(o,"AsIs")] in get_all_vars
>>>>> Martin Maechler >>>>> on Mon, 18 Nov 2019 12:15:38 +0100 writes: >>>>> suharto anggono--- via R-devel >>>>> on Sun, 17 Nov 2019 10:34:31 +0000 writes: >> SVN revision 77401 changes >> x[isM] <- lapply(x[isM], function(o) `class<-`(o, class(o)[class(o) != "AsIs"])) >> to
2002 May 29
1
warning message for setAs when using class AsIs
This seemed too advanced for r-help and is related to the recent discussion of character vectors in dataframes. Following Brian Ripley's most excellent advice, we are moving to a world in which character vectors in dataframes are always of class AsIs. The cool way of doing this seemed to be the following: > cat(c("x", "y", "z"), file = "test.txt",
2016 Jun 16
3
new function to tools/utils package: dependencies based on DESCRIPTION file
Dear Joris, So it does looks like the proposed function makes a lot sense then, isn't it? Cheers, Jan On 16 June 2016 at 08:37, Joris Meys <jorismeys at gmail.com> wrote: > Dear Jan, > > It is unavoidable to have OS and R dependencies for devtools. The building > process for packages is both OS and R dependent, so devtools has to be too > according to my understanding.
2016 Nov 17
1
new function to tools/utils package: dependencies based on DESCRIPTION file
Hi Michael, Are you willing to accept patch for this? I'm already using this and few related functions for a while, it plays well. I could wrap it as patch to utils, or tools? Best, Jan On 16 June 2016 at 14:00, Michael Lawrence <lawrence.michael at gene.com> wrote: > I agree that the utils package needs some improvements related to > this, and hope to make them eventually. This
2016 Jun 14
5
new function to tools/utils package: dependencies based on DESCRIPTION file
Hi all, Packages tools and utils have a lot of useful stuff for R developers. I find one task still not as straightforward as it could. Simply to extract dependencies of a package from DESCRIPTION file (before it is even installed to library). This would be valuable in automation of CI setup in a more meta-data driven way. The simple function below, I know it is short and simple, but having it to
2020 Jan 01
2
New R function is.nana = is.na & !is.nan
Hello R-devel, Best wishes in the new year. I am writing to kindly request new R function so NA_real_ can be more easily detected. Currently if one wants to test for NA_real_ (but not NaN) then extra work has to be done: `is.na(x) & !is.nan(x)` Required functionality is already at C level so to address my request there is not that much to do. Kevin Ushey made a nice summary of current R C api
2010 Oct 06
3
Empty data frame does not maintain column type
Does anyone know why a data frame created with empty character columns converts them to integer columns? > df<-data.frame(a=character(0),b=character(0)) > df<-rbind(df,c("a","a")) > typeof(df[1,1]) [1] "integer" AsIs doesn't help: > df<-data.frame(a=I(character(0)),b=I(character(0))) > df<-rbind(df,I(c("a","a")))
2020 Jun 29
2
R-devel internal errors during check produce?
>>>>> Jan Gorecki writes: > So the unique.default is from the R tools package during checks. > I don't see those issues on CRAN checks. I cannot reproduce this locally (and have no clues about docker). Perhaps you can try to debug this on your end? And see what env_list is when the error occurs? Best -k > Exact environment where I am reproducing this issue is a
2020 Jan 02
1
New R function is.nana = is.na & !is.nan
"nana" is meant to express "NA, really NA". Your suggestion sounds good. On Thu 2 Jan, 2020, 3:38 AM Pages, Herve, <hpages at fredhutch.org> wrote: > Happy New Year everybody! > > The name (is.nana) doesn't make much sense to me. Can you explain it? > > One alternative would be to add an extra argument (e.g. 'strict') to > is.na(). FALSE by
2016 Nov 03
2
Running package tests and not stop on first fail
Hi Martin, Jan, On 11/03/2016 03:45 AM, Martin Maechler wrote: >>>>>> Jan Gorecki <J.Gorecki at wit.edu.pl> >>>>>> on Tue, 1 Nov 2016 22:51:28 +0000 writes: > > > Hello community/devs, Is there an option to run package > > tests during R CMD check and not stop on first error? I > > know that testing frameworks (testhat
2016 Nov 04
4
Running package tests and not stop on first fail
>>>>> Jan Gorecki <J.Gorecki at wit.edu.pl> >>>>> on Fri, 4 Nov 2016 11:20:37 +0000 writes: > Martin, I submitted very simple patch on > https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17176 > Herve, While I like your idea, I prefer to keep my patch > simple, it is now exactly what Martin mentions. I think it > is a
2020 Jun 29
2
R-devel internal errors during check produce?
Thank you both, You are absolutely correct that example should be minimal, so here it is. l = list(a=new.env(), b=new.env()) unique(l) Just for completeness, env_list during check that raises error env_list <- list(baseenv(), as.environment("package:graphics"), as.environment("package:stats"), as.environment("package:utils"),