[R-es] Error: package or namespace load failed
Buenos días, he instalado xlsx pero, al cargar la librería me da este error: Error: package or namespace load failed for ‘xlsx’: .onLoad failed in loadNamespace() for 'rJava', details: call: inDL(x, as.logical(local), as.logical(now), ...) error: unable to load shared object 'C:/Users/Manuel Mendoza/Documents/R/win-library/3.6/rJava/libs/x64/rJava.dll': LoadLibrary failure: No se encontró el proceso especificado. Gracias, Manuel [[alternative HTML version deleted]] ___ R-help-es mailing list R-help-es@r-project.org https://stat.ethz.ch/mailman/listinfo/r-help-es
Re: [R] roxygen2 & markdown & math
On Tuesday, January 12, 2021, Duncan Murdoch
wrote:
> On 12/01/2021 1:12 p.m., Sigbert Klinke wrote:
>
>> Hi,
>>
>> thanks a lot, but maybe I was to vague.
>>
>> I do not want to replace \eqn{...} and \deqn{...} by \mjseqn{...} and
>> \mjsdeqn{...}. I would like to use $...$ and $$...$$ as in Rmarkdown to
>> get something better readable.
>>
>
> I think that's a question/suggestion that would have to go to the roxygen2
> team. They're the ones who convert Markdown into the Rd input format.
> Presumably they could convert $...$ into the appropriate macro using
> Mathjax or not, but I have no idea how difficult that would be.
>
If I remember correctly, I think it would be relatively hard since roxygen2
uses commonmark, which doesn’t include math in its parse tree. It might be
possible to hack something together with regular expressions, but of course
that brings with it the risk of introducing new edge cases that don’t
behave as expected.
Hadley
--
http://hadley.nz
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[R] [R-pkgs] R2BEAT 1.0.2
Dear R users, R2BEAT 1.0.2 is now available on CRAN. This package covers the two-stage stratified sample design, offering functions for determining the optimal allocation of both Primary and Secondary stage units, and for the selection of PSUs with pps, in such a way that the final sample of SSU is almost self-weighting. Full documentation and vignettes on: [ https://urlsand.esvalabs.com/?u=https%3A%2F%2Fbarcaroli.github.io%2FR2BEAT%2F=3cfb7ead=8644c130=y=y | https://barcaroli.github.io/R2BEAT/ ] Hope this can be useful, Regards Andrea Fasulo [[alternative HTML version deleted]] ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@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.
[R] [R-pkgs] weibulltools version 2.0.0 released on CRAN
Dear all, we are happy to announce that a new version of weibulltools is available on CRAN. https://CRAN.R-project.org/package=weibulltools weibulltools is a package that focuses on statistical methods and visualizations that are often used in reliability engineering. The core idea is to provide a compact and easily accessible set of methods and visualization tools that make the examination and adjustment as well as the analysis and interpretation of field and bench test data as simple as possible. Compared to previous releases (<= 1.0.1), the new version (2.0.0) includes a data-based interface through which the obtained function outputs can be easily passed into subsequent methods and visualizations. Furthermore, all visualizations that were generated dynamically with 'plotly', can now also be created statically with the support of 'ggplot2'. The previously used vector-based approach has been largely preserved but is no longer recommended. Examples for the usage of the new interface, the documentation of all functions, as well as further changes can be found at https://tim-tu.github.io/weibulltools/ If you notice a bug or have suggestions for improvements, please submit an issue with a minimal reproducible example at https://github.com/Tim-TU/weibulltools/issues/ Best regards, Tim-Gunnar Hensel and David Barkemeyer ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@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.
