Thanks for that Barry thats much clearer now, I had done print yarn, and
didn't understand why it had returned the string "yarn". Its all clear now
though.
Making the change you suggest though moves me forward but then throws the
following error
"Traceback (most recent call last):
File "pls.py", line 8, in <module>
mod = r.pcr(formula, 9, yarn, validation = 'CV')
rpy.RPy_RException: Error in as.data.frame.default(data, optional = TRUE) :
cannot coerce class "function" into a data.frame
"
I'm guessing that by passing as yarn i'm mucking it up. But can't see how.
r.data instead of yarn does the same thing
Chris
> [EMAIL PROTECTED] wrote:
>> The following code (taken from the pls package manual) works in R...
>>
>> <code>
>>
>> data(yarn)
>
>> from rpy import *
>> r.library("pls")
>>
>> yarn=r.data('yarn', package="pls")
>
>> Its probably a newbie error but I'd really appreciate it if someone can
>> tell me what it is I'm doing wrong.
>
> When playing with Rpy, it's alwys a good idea to check every step is
> doing as you expect. If you look at your Python variable 'R' you'll see
> something:
>
> >>> yarn=r.data('yarn',package='pls')
> >>> yarn
> 'yarn'
>
> Hmmm, it's just the string 'yarn'...
>
> This is because you've misunderstoon what data('yarn') does in R. It
> adds the object 'yarn' to the search path, it doesn't return it.
>
> If you do:
>
> r.data('yarn',package='pls')
> yarn = r.yarn
>
> then your python variable 'yarn' will now have the value of the R
> object 'yarn', so that when you pass the python variable in:
>
> mod = r.pcr(formula, ncomp = 9, data = yarn, validation = "CV")
>
> it gets the right thing. Possibly. You might bet bit by python-R
> conversion here...
>
> Barry
>
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