One thing I did not see mentioned in this thread (pun intended) so far:
For what kind of computations is multithreading supposed to be used within the
package being developed? If the computations involve a lot of linear/matrix
algebra, then one could just use R with other linear algebra
:) That's a fortune nomination on my part.
Best,
Wolfgang
>-Original Message-
>From: R-package-devel [mailto:r-package-devel-boun...@r-project.org] On Behalf
>Of
>Hadley Wickham
>Sent: Tuesday, 21 September, 2021 20:45
>To: Lenth, Russell V
>Cc: r-package-devel@r-project.org
>Subject:
Andre [mailto:andre.gillib...@chu-rouen.fr]
>Sent: Thursday, 02 September, 2021 21:54
>To: Viechtbauer, Wolfgang (SP); r-devel@r-project.org
>Subject: RE: sum() and mean() for (ALTREP) integer sequences
>
>Hello,
>
>Please, find a long response below.
>
>== difference be
>> Hi all,
>>
>> I am trying to understand the performance of functions applied to integer
>sequences. Consider the following:
>>
>> ### begin example ###
>>
>> library(lobstr)
>> library(microbenchmark)
>>
>> x <- sample(1e6)
>> obj_size(x)
>> # 4,000,048 B
>>
>> y <- 1:1e6
>> obj_size(y)
>> #
Hi all,
I am trying to understand the performance of functions applied to integer
sequences. Consider the following:
### begin example ###
library(lobstr)
library(microbenchmark)
x <- sample(1e6)
obj_size(x)
# 4,000,048 B
y <- 1:1e6
obj_size(y)
# 680 B
# So we can see that 'y' uses ALTREP.
again one of these quirks that is good to document.
Best,
Wolfgang
>-Original Message-
>From: Richard M. Heiberger [mailto:r...@temple.edu]
>Sent: Friday, 25 June, 2021 16:53
>To: Marc Scherstjanoi
>Cc: Viechtbauer, Wolfgang (SP); r-package-devel@r-project.org
>Subject:
Dear Greg,
You might want to look into the load_all() function from 'devtools'.
Best,
Wolfgang
>-Original Message-
>From: R-package-devel [mailto:r-package-devel-boun...@r-project.org] On Behalf
>Of
>Greg Minshall
>Sent: Thursday, 24 June, 2021 11:16
>To: r-package-devel@r-project.org
age-
>From: Marc Scherstjanoi [mailto:marc.scherstja...@thuenen.de]
>Sent: Sunday, 20 June, 2021 23:16
>To: Viechtbauer, Wolfgang (SP)
>Cc: Tiago Olivoto; Max Turgeon; r-package-devel@r-project.org
>Subject: Re: R package submission fails due to mathjaxr package
>
>Hi
Hi Marc,
mathjaxr maintainer here. Can you provide a minimal reproducible example
illustrating the problem? If this is another case where the LaTeX command for
Mathjax does not work directly for creating the pdf (or vice-versa), then I
would like to document this (and a possible workaround) as
>>>>>> Viechtbauer, Wolfgang (SP)
>>>>>> on Fri, 8 Jan 2021 13:50:14 + writes:
>
>> Instead of a separate file to store such a list, would it be an idea
>to add versions of the \href{}{} and \url{} markup commands that are skipped
>b
Instead of a separate file to store such a list, would it be an idea to add
versions of the \href{}{} and \url{} markup commands that are skipped by the
URL checks?
Best,
Wolfgang
>-Original Message-
>From: R-devel [mailto:r-devel-boun...@r-project.org] On Behalf Of Spencer
>Graves
Re: Two packages with the same generic
>function
>
>On 23/06/2020 4:22 a.m., Guido Schwarzer wrote:
>> Am 23.06.20 um 10:00 schrieb Viechtbauer, Wolfgang (SP):
>>> [...]
>>> @Neal: A separate package with generic functions that pkgA and pkgB could
>import is a
to accomplish this. This relies
>on
>> >>>> "methods" returning an error if "foo" has no defined methods, so it
>is
>> >>> not
>> >>>> redefined if their are previous methods. I haven't had time to try
>> this
>&
Hi All,
Let's say there are two packages pkgA and pkgB, both of which have a generic
function
foo <- function(x, ...)
UseMethod("foo")
and pkgA has a method for objects of class "A":
foo.A <- function(x, ...)
print(x)
and pkgB has a method for objects of class "B":
foo.B <-
Dear All,
There might be a bug in heatmap():
x <- matrix(rnorm(10*5), 10, 5)
heatmap(x, labCol=1:5)
Error in axis(1, 1L:nc, labels = labCol, las = 2, line = -0.5, tick = 0, :
'at' and 'labels' lengths differ, 5 != 10
Works fine under 4.0.1. Looking at the code from 4.0.1 vs. Rdevel, esp.
a
the CDN, which means that you need an internet connection for equations to
render.
Best,
Wolfgang
>-Original Message-
>From: Tiago Olivoto [mailto:tiagooliv...@gmail.com]
>Sent: Wednesday, 13 May, 2020 21:25
>To: 'Duncan Murdoch'; Viechtbauer, Wolfgang (SP); r-package-devel@r-
020 20:31
>To: Viechtbauer, Wolfgang (SP); 'Duncan Murdoch'; r-package-devel@r-
>project.org
>Subject: RES: [R-pkg-devel] RES: MathJax for Rd files
>
>Thank you so much! It works!
>In my example, I've created a simple helper function, preview_rd()
>
>preview_rd <- f
L(tools::Rd2HTML(Rd, outfile, macros="/mathjaxr/help/macros/mathjax.Rd"))
Best,
Wolfgang
>-Original Message-
>From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
>Sent: Wednesday, 13 May, 2020 19:30
>To: tiagooliv...@gmail.com; Viechtbauer, Wolfgang (SP); 'Helmut Schütz';
May, 2020 17:01
>To: Viechtbauer, Wolfgang (SP); tiagooliv...@gmail.com; r-package-devel@r-
>project.org
>Subject: Re: [R-pkg-devel] MathJax for Rd files
>
>Hi Wolfgang,
>
>Viechtbauer, Wolfgang (SP) wrote on 2020-05-13 16:53:
>> Seems like you are using roxygen2. I have
mailto:tiagooliv...@gmail.com]
>Sent: Wednesday, 13 May, 2020 16:20
>To: Viechtbauer, Wolfgang (SP); r-package-devel@r-project.org
>Subject: RES: [R-pkg-devel] MathJax for Rd files
>
>Dear Wolfgang,
>Thank you so much for the awesome package
>I've installed mathjaxr and it worked.
&g
Dear Olivoto,
There is a package now for this purpose:
https://cran.r-project.org/package=mathjaxr
https://github.com/wviechtb/mathjaxr
Best,
Wolfgang
>-Original Message-
>From: R-package-devel [mailto:r-package-devel-boun...@r-project.org] On
>Behalf Of Tiago Olivoto
>Sent: Wednesday,
the S3
>method using the new function .S3method (intended for R scripts, not
>packages). After running
>
>.S3method("print", "myclass", myenv$print.myclass)
>
>your method will be found from the generic.
>
>Best regards,
>
> Seb
"myclass", myenv$print.myclass)
attach(myenv)
myfun(1:4)
# [1] "1.0" "2.0" "3.0" "4.0"
Thanks for the tip!
Best,
Wolfgang
>-Original Message-
>From: Martin Maechler [mailto:maech...@stat.math.ethz.ch]
>Sent: Tuesd
Dear All,
In R 3.6.3 (and earlier), method dispatch used to work for methods stored in
local environments that are attached to the search path. For example:
myfun <- function(y) {
out <- list(y=y)
class(out) <- "myclass"
return(out)
}
print.myclass <- function(x, ...)
and suggestions more than welcome!
Best,
Wolfgang
>-Original Message-
>From: Ravi Varadhan [mailto:ravi.varad...@jhu.edu]
>Sent: Thursday, 30 April, 2020 15:58
>To: Viechtbauer, Wolfgang (SP); r-devel
>Subject: Re: [Rd] Use of MathJax (or something similar) in .Rd files
&
, 30 April, 2020 12:22
>To: Viechtbauer, Wolfgang (SP); r-devel
>Subject: Re: [Rd] Use of MathJax (or something similar) in .Rd files
>
>On 30/04/2020 6:15 a.m., Viechtbauer, Wolfgang (SP) wrote:
>> Interesting. I gave this a try, but couldn't make this work. One would
>h
}) doesn't do that (it just gets printed). If somebody has
already successfully done this, I would be interested in hearing how.
Best,
Wolfgang
>-Original Message-
>From: Gábor Csárdi [mailto:csardi.ga...@gmail.com]
>Sent: Thursday, 30 April, 2020 11:51
>To: Viechtbauer, Wolfgang (
Hello All,
I am wondering if there has ever been any discussion/consideration given to
incorporating MathJax (or something similar) into R for rendering equations in
.Rd files. I know that equations are rendered beautifully in the pdf manuals,
but I suspect the majority of users primarily look
-Original Message-
From: Dirk Eddelbuettel [mailto:e...@debian.org]
Sent: Tuesday, 24 September, 2019 14:39
To: joris.m...@ugent.be
Cc: Viechtbauer, Wolfgang (SP); r-package-devel@r-project.org
Subject: Re: [R-pkg-devel] Require -package.Rd?
Wolfgang, Joris,
This may not necessarily
Hi All,
When starting to work with an unfamiliar package, one might typically look for
vignettes, a paper/book accompanying the package, a package website, and of
course the help files themselves, but
help(package="")
is often not so useful -- such a listing of functions (with titles) might
Posted this to r-sig-mixed-models
(https://stat.ethz.ch/pipermail/r-sig-mixed-models/2019q1/027620.html) but this
might rather need to go to r-devel anyway, so reposting here:
I came across a weird problem / bug with augPred() from nlme (nlme_3.1-137).
Here is a reproducible example to
Hi All,
I asked this over at r-help, but didn't get any responses. As this seems like a
bug (or at least undocumented behavior) to me, I'll try again here.
It seems to me that xyTable() gets thrown off by NAs:
x <- c(1, 1, 2, 2, 2, 3)
y <- c(1, 2, 1, 3, NA, 3)
table(x, y, useNA="always")
Hello,
I am using Ubuntu 16.04, using the default (Unity) window manager. The font
size using View() is way too small on a high dpi monitor. I already use
scaling, but View() doesn't seem affected by that.
On Windows, the font size for View() appears to be controlled by the font size
Ah, I think you are referring to this part from ?lm:
"(including the case that there are w_i observations equal to y_i and the data
have been summarized)"
I see; indeed, I don't think this is what 'weights' should be used for (the
other part before that is correct). Sorry, I misunderstood the
Using 'weights' is not meant to indicate that the same observation is repeated
'n' times. It is meant to indicate different variances (or to be precise, that
the variance of the last observation in 'x' is sigma^2 / n, while the first
three observations have variance sigma^2).
Best,
Wolfgang
echtbauer Wolfgang (SP)
>Sent: Thursday, June 22, 2017 12:49
>To: r-devel@r-project.org
>Subject: [Rd] Compiling R-devel - missing some expected features (zlib,
>bzlib, lzma, PCRE)
>
>Hi All,
>
>I am compiling R-devel on Linux (Ubuntu 16.04.2) and that works just fine,
>b
Well, one correction -- the 'standardized coefficients' that SPSS shows are
based on standardizing all variables separately (so x1, x2, and x1*x2 are all
standardized). So with respect to that, the criticism certainly stands.
-Original Message-
From: Viechtbauer Wolfgang (SP)
Sent
tp://socserv.mcmaster.ca/jfox/
>- Original Message -
>
>From: "peter dalgaard" <pda...@gmail.com>
>To: "Viechtbauer Wolfgang (SP)"
><wolfgang.viechtba...@maastrichtuniversity.nl>, "Nick Brown"
><nick.br...@free.fr>
>
I had no problems running regression models in SPSS and R that yielded the same
results for these data.
The difference you are observing is from fitting different models. In R, you
fitted:
res <- lm(DEPRESSION ~ ZMEAN_PA * ZDIVERSITY_PA, data=dat)
summary(res)
The interaction term is the
Hello,
In help(clusterApply) of the 'parallel' package, it says:
"clusterApply calls fun on the first node with arguments seq[[1]] and ..., on
the second node with seq[[2]] and ..., and so on, recycling nodes as needed."
But the argument that is iterated over in clusterApply() is called 'x'
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