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List:       r-help
Subject:    Re: [R] Summarizing R script
From:       Bert Gunter <bgunter.4567 () gmail ! com>
Date:       2018-09-26 15:58:48
Message-ID: CAGxFJbSan7ixPL_vuyxRcEPq49chPTSeVsD2AgGWZBcuyomrOQ () mail ! gmail ! com
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All suggestions made by others here are useful, but I would suggest that
computer scientists are probably a better -- or at least valuable
additional -- resource for this sort of knowledge than R programmers. A web
search on "self-documenting code" and/or "reproducible research" should
yield lots of relevant hits. For R specifically, the CRAN "Reproducible
Research" task view should be useful..

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Sep 26, 2018 at 8:39 AM MacQueen, Don via R-help <
r-help@r-project.org> wrote:

> I wonder if the lintr package might be helpful.
>
> --
> Don MacQueen
> Lawrence Livermore National Laboratory
> 7000 East Ave., L-627
> Livermore, CA 94550
> 925-423-1062
> Lab cell 925-724-7509
>
>
>
> On 9/26/18, 7:00 AM, "R-help on behalf of Spencer Brackett" <
> r-help-bounces@r-project.org on behalf of spbrackett20@saintjosephhs.com>
> wrote:
>
>     R users,
>
>       Is anyone aware of the proper procedure for summarizing a script(your
>     complete list of functions, arguments , and error codes within your R
>     console for say a formal report or publication?
>
>     Many thanks,
>
>     Best wishes,
>
>     Spencer Brackett
>
>     ---------- Forwarded message ---------
>     From: CHATTON Anne via R-help <r-help@r-project.org>
>     Date: Wed, Sep 26, 2018 at 6:03 AM
>     Subject: [R] Problems to obtain standardized betas in multiply-imputed
> data
>     To: r-help@r-project.org <r-help@r-project.org>
>
>
>     Dear all,
>
>     I am having problems in obtaining standardized betas on a
> multiply-imputed
>     data set. Here are the codes I used :
>     imp = mice(data, 5, maxit=10, seed=42, print=FALSE)
>     FitImp <- with(imp,lm(y ~ x1 + x2 + x3))
>     Up to here everything is fine. But when I ask for the standardized
>     coefficients of the multiply-imputed regressions using this command :
>     sdBeta <- lm.beta(FitImp)
>     I get the following error message:
>     Error in b * sx : argument non numérique pour un opérateur binaire
>
>     Can anyone help me with this please?
>
>     Anne
>
>     ______________________________________________
>     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.
>
>         [[alternative HTML version deleted]]
>
>     ______________________________________________
>     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-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.
>

	[[alternative HTML version deleted]]

______________________________________________
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.
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