It depends on what you want, but I've found it very useful to
create packages and submitting them to CRAN. See "Creating R Packages"
for how to do that.[1] Part of this involves creating vignettes using
Rmarkdown within RStudio. Creating R packages and routinely running "R
CMD check" sounds like it would take extra time. My experience has been
very much the opposite, because it dramatically reduces the bugs in my
software and makes it vastly easier to find the bugs that still exist.
AND I have something I can just hand to others, and they can use it.
That would be exceedingly difficult otherwise.
And there are publications like "R Journal" that are looking for
descriptions of what you've done. I have a paper in "R Journal"
describing the "sos" package; that article is a vignette in that
package. This process has worked for me.[2]
Spencer
[1] Available from help.start(). See also
"https://cran.r-project.org/doc/manuals/r-release/R-exts.html";.
[2] The "sos" package is the fastest literature search I know for
anything statistical. It's availability on CRAN combined with the R
Journal article got me invited to help organize a plenary session on
"Navigating the R Package Universe" at the useR!2017 conference in
Brussels last year. This is an example of how creating an R package
with a vignette has helped me find an audience.
On 2018-09-26 09:06, Roger Koenker wrote:
I use R CMD BATCH foo which produces a file called foo.Rout and provided the
script includes
sessionInfo() constitutes a quite sufficient summary for my purposes, it isn’t
exactly pretty, but it
is informative.
On Sep 26, 2018, at 3:00 PM, Spencer Brackett <spbracket...@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
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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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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
