Looking further up the list of error messages, there is a long dependency
chain ending with a missing system dependency (see below):
* anamiR -> agricolae -> spdep -> sf -> system dependency libgdal-dev
You should be able to fix it with `apt install libgdal-dev` if you're on
Debian/Ubuntu.
Good day,
I don't, but your software package imports agricolae which imports spdep. spdep
is available from CRAN, so it's strange that the Bioconductor build server
running Linux has not been able to install it.
--
Dario Strbenac
University of Sydney
Hi all,
I got an error about this...
* installing to library ‘/home/biocbuild/bbs-3.8-bioc/R/library’
* installing *source* package ‘anamiR’ ...
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
Error in loadNamespace(i, c(lib.loc,
Hi John,
Thanks for your reply. Of course I could write a package and of course I
would find that trivial to do. The point is this is a main entry point to R
for probably (at this point) hundreds of thousands of students. I’d like
them to be able to get a basic quantity of interest from a t-test
Hello,
Something like this?
t.test2 <- function(...) {
ht <- t.test(...)
class(ht) <- c("htest_tjl", class(ht))
ht
}
print.htest_tjl <- function(x, ...) {
NextMethod(x, ...)
se <- as.vector(abs(diff(x$estimate)/x$statistic))
cat("Standard error of the difference:", se, "\n\n")
Dear Thomas,
it is, unfortunately, not that simple. t.test() returns an object of class
"htest" and not all such objects have standard errors. I'm not entirely sure
what the point is since it's easy to compute the standard error of the
difference from the information in the object (adapting an
A recent thread on Twitter [1] by a Stata user highlighted that t.test()
does not return or print the standard error of the mean difference, despite
it being calculated by the function.
I know this isn’t the kind of change that’s likely to be made but could we
at least return the SE even if the
Hi all,
>From what I can see from my checkout of the Rsources (in src/main/summary.c
as pointed out by others) sums are calculated the "naive" way (see rsum c
function) but means are actually calculated something akin to the Neumaier
way (see real_mean c function).
Just an fyi.
~G
On Thu, Feb
Specifically: https://svn.r-project.org/R/trunk/src/main/summary.c
And if you don't want to deal with Subversion, you can look at the
read-only github mirror:
https://github.com/wch/r-source/blob/e5b21d0397c607883ff25cca379687b86933d730/src/main/summary.c#L115-L131
On Thu, Feb 21, 2019 at 11:57
On 2/20/19 2:55 PM, Rampal Etienne wrote:
Dear Tomas,
Where do I find these files? Do they contain the code for the sum function?
Yes.
https://svn.r-project.org/R/trunk/
David
What do you mean exactly with your point on long doubles? Where can I find
documentation on this?
Cheers,
> Lionel Henry
> on Thu, 21 Feb 2019 12:27:11 +0100 writes:
> Hello,
> This is already fixed in r-devel, I think by this commit:
>
https://github.com/wch/r-source/commit/b59a1526085d1b4375b184d35118c6fd6f003912#diff-12de104c9320556f0e99da345c6fb259
Hi,
In follow up to the thread on R-Help yesterday:
https://stat.ethz.ch/pipermail/r-help/2019-February/461725.html
I am attaching a proposed patch against the trunk version of Extract.Rd, with
wording added to the "Matrices and arrays" section, to note that indexing these
object by factors
On Thu, Feb 21, 2019 at 7:49 AM Fox, John wrote:
>
> Dear Ben,
>
> Perhaps I'm missing the point, but contrasts.arg is documented to be a list.
> From ?model.matrix: "contrasts.arg: A list, whose entries are values (numeric
> matrices or character strings naming functions) to be used as
Dear Will,
This is exactly what I find.
My point is thus that the sum function in R is not a naive sum nor a
Kahansum (in all cases), but what algorithm is it using then?
Cheers, Rampal
On Tue, Feb 19, 2019, 19:08 William Dunlap The algorithm does make a differece. You can use Kahan's
Dear Paul,
Thank you for thinking with me. I will respond to your options:
>
> 0/ Your code is wrong, but that seems unlikely on such a simple
> calculations.
>
It's really just a comparison of the sum function in Fortran with that of
R. If instead I use the naive summation with a for loop in
Dear Tomas,
Where do I find these files? Do they contain the code for the sum function?
What do you mean exactly with your point on long doubles? Where can I find
documentation on this?
Cheers, Rampal
On Mon, Feb 18, 2019, 15:38 Tomas Kalibera See do_summary() in summary.c, rsum() for
Dear Ben,
Perhaps I'm missing the point, but contrasts.arg is documented to be a list.
From ?model.matrix: "contrasts.arg: A list, whose entries are values (numeric
matrices or character strings naming functions) to be used as replacement
values for the contrasts replacement function and whose
Hello,
This is already fixed in r-devel, I think by this commit:
https://github.com/wch/r-source/commit/b59a1526085d1b4375b184d35118c6fd6f003912#diff-12de104c9320556f0e99da345c6fb259
This is related to a problem that was fixed in 2015
https://github.com/wch/r-source/commit/38ea40dcd0353af16d35296ee621338c49ae48c9
The problem then was that auto-printing by typing an object to the console
would search for show() in the globalenv instead of in the methods
namespace.
The problem
On 21.02.19 09:16, Uwe Ligges wrote:
> Use R's RNG, see Writing R Extensions.
Which can be conveniently used with R::runif and Rcpp::runif etc. when
using Rcpp.
cheerio
ralf
> Best,
> Uwe Ligges
>
>
> On 21.02.2019 07:52, Chu-Lan Kao wrote:
>> Dear Sir,
>>
>> I've got a Rcpp code in the form
Use R's RNG, see Writing R Extensions.
Best,
Uwe Ligges
On 21.02.2019 07:52, Chu-Lan Kao wrote:
Dear Sir,
I've got a Rcpp code in the form like the following in my uploaded package:
inline double runiforminline(){
std::default_random_engine generator(rand());
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