Dear Robert,
R supports package repositories out of the box. A repository is just a way
of organizing files. The most popular repositories are CRAN and
Bioconductor. There is even a package that allows you to set up your own
repository on Github (the drat package).
It depends on the repository
Consider the following R code:
abc <- function(x, y = y) {
x + y
}
abc(x = 3)
which gives the following error:
promise already under evaluation: recursive default argument
reference or earlier problems?
If you google that error, you will find that it usually
On Tue, Sep 12, 2017 at 8:28 PM, wrote:
> (https://svn.r-project.org/R/branches/ALTREP/ALTREP.html outlines the
> framework).
Thank you for the nice writeup, hope this makes it into the R journal.
The spelling package finds a few typos:
>
Hi, people other than the R developers can create packages which use R
to do interesting things. I gather such packages are mostly
distributed via CRAN, is that right? I am curious to know about the
process for approving such packages.
How much effort goes into reviewing and vetting packages? Is
1. Yes. If you package was accepted and is on g...@git.bioconductor.org then
it is set to be included in the next release version of Bioconductor. You do
not need to do anything; the Bioconductor team will handle making appropriate
branches to the repository.
2. You can add changes to
On Sun, Sep 17, 2017 at 12:39 AM, Juan Telleria wrote:
> Dear R Developers,
>
> In the same way that MySQL/MariaDB's Engine InnoDB or MyISAM/Aria have the
> innodb_buffer_pool_size or the key_buffer_size for setting the maximum
> amount of RAM which can be used by a Server
This variables already exist as I have been said, and are:
* memory.size
* memory.limit
R Documentation:
https://stat.ethz.ch/R-manual/R-devel/library/utils/html/memory.size.html
Thank you,
Juan
El 17/9/2017 12:39 a. m., "Juan Telleria" escribió:
> Dear R Developers,
>
Dear Juan,
I'm not deeply familiar with the DB's you mention but it seems to me that
me that 'memory.limits' does what you want on one OS and you can use shell
commands to limit R's memory usage for *nix-alike systems (see
?memory.limits). Also, Jeroen Ooms wrote a nice article about this in the
You could first have a look at the LaF packge. It does a lot of what you
want already.
-M
Op zo 17 sep. 2017 om 04:41 schreef Juan Telleria :
> Dear R Developers,
>
> I am writing as I would like to propose a github project for the creation
> of on-disk data.frames/tibbles.