Displaying 20 results from an estimated 5000 matches similar to: "Reverse dependency checking"
2025 Feb 13
1
Reverse dependency checking
On 2025-02-12 4:42 p.m., Lenth, Russell V via R-help wrote:
> Dear R-Help,
>
> When I submit an update to one of my packages, I decided to try to avoid having to fix errors that sometimes occur in CRAN's reverse-dependency checks by performing the same checks ahead of time. From what I can tell, the way to do this is to use
>
> tools::check_packages_in_dir(..., reverse =
2019 Sep 03
2
reverse dependency checks
I remember there was advice about a server that one could use for reverse dependency
checks, but I forgot to write it down.? (Or I did save the info and forgot where I saved
it...)?? I have been doing the checks for survival myself, but the count is getting out of
hand (663, not counting bioconductor).
Any pointers?
Terry Therneau
[[alternative HTML version deleted]]
2018 Nov 26
1
issue with testInstalledPackage
Background: I run tools::testInstalledPackage on all packages that dependend on survival
(605 as of today) before sending a new release to CRAN. It has a few false positives which
I then follow up on.? (Mostly packages with as-yet-incomplete tests in their inst directory).
?Issue: testInstalledPackage("mets")? generates an? "Error in checkVignettes(pkg,
lib.loc, latex = FALSE,
2006 Oct 13
3
No exit codes from RTerm (Windows) (PR#9296)
Full_Name: Russell V. Lenth
Version: 2.3.1
OS: Windows XP Pro
Submission from: (NULL) (128.255.132.188)
I wrote a simple .BAT file to run the Sweave function on a file (via RTerm),
then run pdflatex on the result (after RTerm exits). The issue is that if an
error condition occurs in RTerm, it is prudent to not do the pdflatex processing
afterward.
Here are the relevant statements in the BAT
2019 Jul 23
2
[External] Re: quiet namespace load is noisy
Lionel,
Thanks for your response. I understand that method overriding can be a serious issue, but as you say, this is not something that the user can act upon. Yet the message lands at the user?s feet.
In my case, the messages are cluttering my package vignettes, and may or may not represent what users see if they themselves run the vignette code, depending on what version of ggplot2, etc. they
2019 Jul 23
2
quiet namespace load is noisy
Dear R-devel,
Consider the following clip (in R version 3.6.0, Windows):
> requireNamespace("ggplot2", quietly = TRUE)
Registered S3 methods overwritten by 'ggplot2':
method from
[.quosures rlang
c.quosures rlang
print.quosures rlang
It seems to me that if one specifies 'quietly = TRUE', then messages about S3 method
2019 Jul 23
2
[External] Re: quiet namespace load is noisy
Dear Russ,
I had the same problem in my vignettes and setting both message and warning
to FALSE seems to remove all unwanted output:
```{r message=FALSE, warning=FALSE}
library("afex")
library("ggplot2")
library("cowplot")
theme_set(theme_grey())
```
Result:
https://cran.r-project.org/web/packages/afex/vignettes/afex_plot_introduction.html
Best,
Henrik
Am Di.,
2016 May 14
2
R external pointer and GPU memory leak problem
My question is based on a project I have partially done, but there is still something I'm not clear.
My goal is to create a R package contains GPU functions (some are from Nividia cuda library, some are my self-defined CUDA functions)
My design is quite different from current R's GPU package, I want to create a R object (external pointer) point to GPU address, and run my GPU function
2018 Jul 20
2
Model formulas with explicit references
Dear R-Devel,
I seem to no longer be able to access the bug-reporting system, so am doing this by e-mail.
My report concerns models where variables are explicitly referenced (or is it "dereferenced"?), such as:
cars.lm <- lm(mtcars[[1]] ~ factor(mtcars$cyl) + mtcars[["disp"]])
I have found that it is not possible to predict such models with new data. For example:
2016 Mar 04
2
Why are virsh vol-upload/vol-download so slow?
I was interested in using 'virsh vol-upload' and 'virsh vol-download',
rather than mucking about directly with the filesystem. But while
simply copying the image is relatively quick:
# ls -l /var/lib/libvirt/images/centos-7-cloud.qcow2
-rw-r--r--. 1 qemu qemu 1004994560 Apr 15 2015 centos-7-cloud.qcow2
# time cp /var/lib/libvirt/images/centos-7-cloud.qcow2
2011 Mar 08
0
[LLVMdev] backend question
On Tue, Mar 8, 2011 at 5:14 AM, Jacques Van Damme
<Jacques.VanDamme at synopsys.com> wrote:
> I am writing a backend for an architecture that has only 16-bit word
> addressing (No byte addresses ever. All data are always 16-bit).
>
> How can I specify this in the backend?
In short, you can't. Word-addressable memory is not currently
supported in LLVM (or Clang, for that
2000 May 03
1
Bug report -- 1.0.1, HP-UX (PR#532)
Dear R folks,
Additional problem... bug.report() failed, so am sending it from another
mailer. The file it generated is appended.
Thanks
Russ
--
Russell V. Lenth -- Department of Statistics & Actuarial Science
The University of Iowa -- Iowa City, IA 52242 USA
Tel (319)335-0814 -- FAX (319)335-3017
mailto:Russell-Lenth@uiowa.edu - http://www.stat.uiowa.edu/~rlenth/
===== R.bug.report
2007 May 17
4
help with executing instruction every i-th run of loop
I am running a very long loop and would like to save intermediate
results in case of a system or program crash. Here is the skeleton of
what my code would be:
for (i in 1:zillion)
{
results[[i]]<-do.something.function()
if (logical.test(i)) {save(results, "results.tmp")}
}
logical.test would test to see if i/1000 has no remainder. What R
function would test that?
2019 Mar 28
1
default for 'signif.stars'
I read through the editorial.
This is the one of the most mega-ultra-super-biased articles I've ever read.
e.g.
The authors encourage Baysian methods, and literally encourage subjective
approaches.
However, there's only one reference to robust methods and one reference to
nonparametric methods, both of which are labelled as purely exploratory
methods, which I regard as extremely
2008 Apr 25
1
R-devel Digest, Vol 62, Issue 24
The columns of the model matrix are all orthogonal. So the problem
lies with poly(), not with lm().
> x = rep(1:5,3)
y = rnorm(15)
z <- model.matrix(lm(y ~ poly(x, 12)))
x = rep(1:5,3)
> y = rnorm(15)
> z <- model.matrix(lm(y ~ poly(x, 12)))
> round(crossprod(z),15)
(Intercept) poly(x, 12)1 poly(x, 12)2 poly(x, 12)3
poly(x, 12)4
(Intercept)
2023 Nov 09
1
Dependency errors for package pracma
I tried to update my package {pracma} on CRAN from 2.4.2 (2022-09-21)
to version 2.4.4 (2023-11-08). This package reverse depends / imports
/ suggests on 350 packages on CRAN and 25 packages on Bioconductor.
The only changes are small corrections on some help files, a new
function for stereographic projection, and `gcd` and `Lcm` require
integer inputs now (these functions are not used in the
2007 Nov 22
3
Naming elements of a list
I have a numeric vector of lenth 1. I am trying to use it inside
a function just by giving its name, rather than specifying it as
an argument to the function. I am aware that there is an attach
function which you need to call. The attach function will accept a
list. However, I don't seem to be able to create the list properly. (Or
should I use a frame instead?)
free_driver <- function (){
2006 May 24
5
macro-dial
Hi,
I'm trying to edit an AMP-derived dialplan: the macro "dial" uses the AGI
script "dialparties.agi" to find the extension to call.
I'd like to drop this script: does anyone can explain me what is its main
job?
Thanks
--
Domenico Viggiani
2008 May 15
5
syslog console log not logging SCSI problems
One of our FreeBSD boxes has a SCSI controller and disk, which showed
problems earlier this week. There was a lot of of chatter from the
SCSI driver in /var/log/messages and to the console. However, the
console is unattended and we only discovered the problem subsequently
because /var/log/console.log didn't show any of the chatter.
console.log is otherwise working, and very helpful (e.g. it
2015 Aug 05
1
Linux Workstation x SMB4 DC
On Wed, Aug 05, 2015 at 08:13:52PM +0100, Rowland Penny wrote:
> ># ./exec.sh |grep ^real
> >real 0m1.944s
> >real 0m0.051s
> >real 0m1.843s
> >real 0m1.798s
> >real 0m18.236s
> >real 0m1.756s
> >real 0m1.769s
> >real 0m2.092s
> >real 0m1.952s
> >real 0m1.954s
> >real 0m17.588s
> >real