The :: is a case that we worked to get right with wrapr dot-pipe. I shared
notes on this S3/S4 pipe in the R journal
https://journal.r-project.org/archive/2018/RJ-2018-042/index.html
library(magrittr)
packageVersion("magrittr")
# [1] ‘2.0.1’
5 %>% base::sin
# Error in .::base : unused argument
Thanks, and sorry to have bothered everyone. I'll try bumping the package
version number and re-submitting.
> On Oct 16, 2020, at 11:59 PM, Tomas Kalibera wrote:
>
> This is was a bug in R-devel, already fixed.
> Sorry for the inconvenience,
>
> Tomas
>
> On 10/17
' 'Rscript2be3.i3ORSI' 'Rscript2bff.JJwTqS'
'Rscript2c00.PBV2DW'
Does anybody know what this is a symptom of, or how to fix it?
Thanks,
John
---
John Mount
http://www.win-vector.com/
Our book: Practical Data Science with R
http://practicaldatascience.com
[[alternative
I would suggest stats::glm() should set "converged" to FALSE in the return
value in a few more situations. I believe the current returned converged ==
TRUE can be needlessly misleading when the algorithm has clearly failed (and
the algo even issued a warning, but the returned structure claims
Forgot the url:
https://win-vector.com/2014/05/30/trimming-the-fat-from-glm-models-in-r/
On Aug 10, 2020, at 11:50 AM, John Mount
mailto:jmo...@win-vector.com>> wrote:
Thank you for your suggestion. I do know how to work around the issue. I
usually build a fresh environment as a
other than
global/base (such as those formed when building a formula in a function)
capturing references to unrelated structures.
> On Aug 10, 2020, at 11:34 AM, Duncan Murdoch wrote:
>
> On 10/08/2020 1:42 p.m., John Mount wrote:
>> I wish I had started with "I am disappointed
I wish I had started with "I am disappointed that lm() doesn't continue its
search for weights into the calling environment" or "the fact that lm() looks
only in the formula environment and data frame for weights doesn't seem
consistent with how other values are treated."
But I did not. So I
n Murdoch wrote:
>>> On 09/08/2020 2:59 p.m., John Mount wrote:
>>>> Firstly: thanks to Ben for the help/fix.
>>>>
>>>> I know nobody asked, but.
>>>>
>>>> Having to guess where the documentation is just to refer to it is
&g
guaranteed
> to be found even if there's a conflicting variable in the formula
> environment, or the global environment.
>
> Duncan Murdoch
>
> On 09/08/2020 2:13 p.m., John Mount wrote:
>> I know this programmers can reason this out from R's late parameter
>> evaluati
principles).
> On Aug 9, 2020, at 11:04 AM, Ben Bolker wrote:
>
> This might have to be \link[utils:debugger]{dump.frames} now, i.e.
> explicitly linking to the man page on which dump.frames is found
> rather than following aliases?
>
> On Sun, Aug 9, 2020 at 2:01 PM John Mount
I know this programmers can reason this out from R's late parameter evaluation
rules PLUS the explicit match.call()/eval() lm() does to work with the passed
in formula and data frame. But, from a statistical user point of view this
seems to be counter-productive. At best it works as if the user
With "R Under development (unstable) (2020-07-05 r78784)" (Windows)
documentation references such as "\link[utils]{dump.frames}" trigger "Non-file
package-anchored link(s) in documentation object" warnings even if the package
is in your "Imports."
Is that not the right form? Is there any way
> So yes, if one wants to use all the utilities or the various algos that the
> digest package provides, one should install and load it. But if one can live
> with MD5 hashes, why not use the built-in R function? (Well, without
> serializing an object to a file, calling tools::md5sum, and
HenrikBengtsson/Wishlist-for-R/issues/21
> [2]:
> https://github.com/wch/r-source/blob/5a156a0865362bb8381dcd69ac335f5174a4f60c/src/library/tools/src/md5.c#L172
> [3]:
> https://github.com/wch/r-source/blob/5a156a0865362bb8381dcd69ac335f5174a4f60c/src/library/tools/src/Rmd5.c#L27
>
> __
[[alternative HTML version deleted]]
>
> __
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
---
John Mount
http://www.win-vector.com/ <http://www.win-vector.com/>
Our book: P
01, 4)
>>>>>> [1] 4
>>>>>>> choose(4.01, 4)
>>>>>> [1] 1.02
>>>>>>
>>>>>> Should base::choose(n, k) check whether n is within machine precision of
>>>>>> k and return 1?
>>>>>>
>&g
Except for the isolation of local() R pretty much already has the parsing
transformation you mention.
as.list(parse(text="
iris ->.;
group_by(., Species) ->.;
summarize(., mean_sl = mean(Sepal.Length)) ->.;
filter(., mean_sl > 5)
"))
#> [[1]]
#> . <- iris
#>
#> [[2]]
#> . <-
ck usage 15923776 is too close to the limit
>
> What I propose on the other hand can always substitute any existing proper
> pipe in their standard feature, as long as the dot is made explicit.
>
> Best regards,
>
> Antoine
>
>
>
> Le sam. 5 oct. 2
(y) function() eval(quote(y))
> f2 <- x %.% f1(.)
> f2()
> #> [1] "a"
> ```
>
> Looking forward for your thoughts on this,
>
> Antoine
>
> [[alternative HTML version deleted]]
>
> __
> R-devel@r-project.org mailing l
ts explaining her rationale for the
> > choice she may not even have the same reviewer the next time.
> >
> > Bioconductor seems to have a much better review process for
> > submissions, with real dialog between the reviewer and package author,
> > perhaps CRAN can le
/10.1201/9781315381305
>> [3]: http://www.lua.org/manual/5.1/manual.html#lua_pcall
>> [4]: http://www.lua.org/manual/5.1/manual.html#lua_cpcall
>>
>> __
>> R-devel@r-project.org mailing list
>> https://stat.ethz.ch
Brodie Gaslam pointed out that tools::showNonASCIIfile() does the job very
nicely.
> On Mar 6, 2019, at 11:14 AM, John Mount wrote:
>
> I am getting this warning on the `rquery` package:
> https://cran.r-project.org/web/checks/check_results_rquery.html
> <https://cran
nd Mac systems without an
X-server. It seems to require the --as-cran flag to trigger.
---
John Mount
http://www.win-vector.com/ <http://www.win-vector.com/>
Our book: Practical Data Science with R http://www.manning.com/zumel/
<http://www.manning.com/
want this chaining;
and there are issues of quoting it out) in eval would be very valuable.
Obviously it is most useful where non-standard evaluation is emphasized
(plotting, formulas, and dplyr being the examples that I can immediately think
of).
---
John Mount
http://www.win
issues emerge.
>
> Martin
>
That is potentially a very good outcome. Thank you so much for producing and
testing a patch.
---
John Mount
http://www.win-vector.com/ <http://www.win-vector.com/>
Our book: Practical Data Science with R http://www.manning.com
point here
http://www.win-vector.com/blog/2016/08/my-criticism-of-r-numeric-summary/
<http://www.win-vector.com/blog/2016/08/my-criticism-of-r-numeric-summary/> (I
am not trying to be rude, more I am trying to emphasize why this can be
confusing to new users).
---
John Moun
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