Hello everyone
I'm having a little difficulty with R-2.0.0 CMD check. My field is Bayesian calibration of computer models.
The problem is that I have a large collection of toy datasets, that in R-1.9.1 were specified with lines
like this:
x.toy <- 1:6 y.toy <- computer.model(x.toy) z.toy <- reality(x.toy)
in file ./data/toys.R ; functions computer.model() and reality() are defined in ./R/calibrator.R.
[In this application, the (toy) functions computer.model() and reality() are the objects of inference, as
per the standard Bayesian approach. The functions are nonrandom in that they are deterministic but
random in the Bayesian sense. Thus y.toy and z.toy are observations of (random) functions].
In the Real World, one would have access to x.toy, y.toy, and z.toy but not (of course) computer.model()
or reality(). These functions should never be seen or referred to because they are Unknown.
So, in many of the code examples, I use things like "some.function(y.toy, z.toy)" . . . and I need
y.toy and z.toy to be consistent between different functions.
I think R-2.0.0 sources ./data/toys.R *before* the files in ./R/ ; and this throws an error in
R2 CMD check, because the functions are not found.
What is best practice to generate this kind of toy dataset?
-- Robin Hankin Uncertainty Analyst Southampton Oceanography Centre SO14 3ZH tel +44(0)23-8059-7743 [EMAIL PROTECTED] (edit in obvious way; spam precaution)
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