[R] How to pack my stuff into a package (library, collection)?
tribolaboy at gmail.com
Mon Apr 7 10:50:23 CEST 2008
I did the example given in package.skeleton
f <- function(x,y) x+y
g <- function(x,y) x-y
d <- data.frame(a=1, b=2)
e <- rnorm(1000)
Error in library(mypkg) : there is no package called 'mypkg'
After checking the directory structure, I found the "package" 'mypkg'
placed under 'bin' sub-directory. I moved it to 'library', where all
of the CRAN downloaded packages are and this is what I get:
Error in library(mypkg) :
'mypkg' is not a valid package -- installed < 2.0.0?
What am I missing?
On Mon, Apr 7, 2008 at 3:49 PM, Simon Blomberg <s.blomberg1 at uq.edu.au> wrote:
> On Mon, 2008-04-07 at 15:13 +0900, Tribo Laboy wrote:
> > Hello,
> > I am new useR, I have written some functions, which I currently use by
> > "source"-ing them from the files.
> > That's OK, but when I my functions start counting in the tens and
> > hundreds I'd be glad to be able to type
> > "help.search("my_obscure_fun")" and get a sensible reply. I also want
> > to be able to load them as a package at startup and not have to
> > "source" each one individually. I read through the "Writing R
> > Extensions" file, but I am overwhelmed with the vast amount of
> > prescribed detail that Extension Authors must follow - directory
> > structure, file structure, etc. Luckily, I found the "prompt"
> > function, which helps in writing of help-files in the form of "fill-in
> > the blanks". But that's only for the help-files. Reading further, it
> > gets even more complicated. The user is referred to the "R
> > Installation and Administration" document, which says that:
> > If you want to build R or add-on packages from source in Windows, you
> > will need to collect, install and test an extensive set of tools.
> > These seem to include among others Perl and compiler. But R is an
> > interpreted and cross-platform language, I don't understand the need
> > for additional platform specific tools just to call a user collection
> > of R-files. Anyone knows of a smooth introduction to these topics?
> Have a look at ?package.skeleton. It should get you started. If you just
> want to build packages with pure R (no shared libraries etc.), I think
> you won't need the other tools.
> > Rgards,
> > TL
> > ______________________________________________
> > R-help at r-project.org mailing list
> > 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.
> Simon Blomberg, BSc (Hons), PhD, MAppStat.
> Lecturer and Consultant Statistician
> Faculty of Biological and Chemical Sciences
> The University of Queensland
> St. Lucia Queensland 4072
> Room 320 Goddard Building (8)
> T: +61 7 3365 2506
> email: S.Blomberg1_at_uq.edu.au
> 1. I will NOT analyse your data for you.
> 2. Your deadline is your problem.
> The combination of some data and an aching desire for
> an answer does not ensure that a reasonable answer can
> be extracted from a given body of data. - John Tukey.
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