[R] Building Packages.

Duncan Murdoch murdoch@dunc@n @end|ng |rom gm@||@com
Wed Mar 20 18:07:38 CET 2024


On 20/03/2024 12:37 p.m., Ben Bolker wrote:
>     Ivan, can you give more detail on this? I've heard this issue
> mentioned, but when I open RStudio and run find("install.packages") it
> returns "utils::install.packages", and running dump() from within
> RStudio console and from an external "R --vanilla" gives identical results.
> 
>     I thought at one point this might only refer to the GUI
> package-installation interface, but you seem to be saying it's the
> install.packages() function as well.
> 
>     Running an up-to-date RStudio on Linux, FWIW -- maybe weirdness only
> happens on other OSs?

On MacOS, I see this:

 > install.packages
function (...)
.rs.callAs(name, hook, original, ...)
<environment: 0x7fa7c72a6268>

I get the same results as you from find().  I'm not sure what RStudio is 
doing to give a different value for the function than what find() sees.

Duncan Murdoch

> 
>      Ben Bolker
> 
> On 2024-03-20 12:13 p.m., Ivan Krylov via R-help wrote:
>> В Wed, 20 Mar 2024 16:02:27 +0000
>> Jorgen Harmse via R-help <r-help using r-project.org> пишет:
>>
>>>> install.packages(tar,type='source',repos=NULL)
>>>
>>> Error in library(jhBase) : there is no package called ‘jhBase’
>>>
>>> Execution halted
>>>
>>> Warning in install.packages(tar, type = "source", repos = NULL) :
>>>
>>>     installation of package
>>> ‘/Users/jharmse/Library/CloudStorage/OneDrive-RokuInc/jhBase_1.0.1.tar.gz’
>>> had non-zero exit status
>>
>> Using RStudio? It happens to override install.packages with a function
>> that doesn't quite handle file paths. Try utils::install.packages(tar,
>> type = "source", repos = NULL).
>>
> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



More information about the R-help mailing list