Kia Ora
> vec_size(data.frame(x = 1:10))
> #> [1] 10
> vec_size(array(dim = c(10, 4, 1)))
> #> [1] 10
I think that "length" (in the R way) or "size" should incorporate the
number of columns (or other dimension information).
How about:
> vec_npoints (x)
> vec_nrecords (x)
> vec_nobs (x)
Thank you for your helpful response, Valerie.
My main concern was that the issue would persist which could make my
package unsuitable for bioconductor 3.9 release next year. However, it does
not seem to be the case from your explanation. For now I will focus on
making sure my package works well
Hi Anh,
We don't build CRAN packages from source on the Windows and Mac builders
but instead install the binaries. Building all CRAN packages from source
would require installation and maintenance of many more system
dependencies. We may decide to support this in the future but currently
it's
Hello,
I noticed that multiple packages currently have errors because 'devtools'
was not installed on merida2. I wonder if the issue will go away eventually
or we will have to make changes to our packages to pass the check.
For my HPAanalyze package specifically, merida2 also didn't have the
What's the best/fastest way to do this? The package (MTseeker) will happily
build and install it for the user via the indexMTgenome() function, but
since I test for its presence prior to running examples, it seems like I
might as well have it available through BioC.
Thanks,
--t
Thanks! Fixed in R-devel.
Best
Tomas
On 10/29/18 12:34 AM, David CARLIER wrote:
> Hi dear list,
>
> Here a little memory leak fix proposal.
>
> Kind regards.
> Thanks.
>
> __
> R-devel@r-project.org mailing list
>
Let's continue this on github at
https://github.com/Bioconductor/BiocManager/issues/31
On 11/8/18, 6:31 AM, "Martin Morgan" wrote:
I'm not sure why this does not work.
The key is BiocManager::repositories(), which determines the repositories
where R looks for packages. R choose
I'm not sure why this does not work.
The key is BiocManager::repositories(), which determines the repositories where
R looks for packages. R choose the first repository where it finds the package
(maybe of equivalent version, not exactly sure...). The first argument to
repositories() can be a
Dear all,
I like the new BiocManager package with its new possibilities to install
specific versions of Bioconductor - but what I miss is the possibility to
specify a local Bioconductor mirror from which to install packages.
Our calculation clusters don't have direct internet access, so I am
I see this on MacOS as well, so likely not platform dependent.
A little more diddling to try to narrow it down:
> unserialize(serialize(as.raw(1), NULL, version=2, ascii=TRUE))
[1] 30
> unserialize(serialize(list(as.raw(1)), NULL, version=2, ascii=TRUE))
[[1]]
[1] 30
>
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