D. R. Evans said the following at 09/05/2007 03:59 PM :
> Peter said the following at 09/05/2007 03:25 PM :
>
>> from rpy import r
>> r("d <- load('/tmp/dat.R')")
>> r("d <- subset(d, web == 'future')")
>> print r("d")
>>
>
> Oh, I didn't realise that one could simply write r("r-command-goes-here").
> In that case I think I'm fine, because I have working R code, so I can
> probably just encapsulate it in r() calls.
>
> I'll go try that, anyway. Thank you very much.
Hmmm... that part works, but then as soon as I have obtained the right
subset, the next commands fail.
The following works fine in R:
<several subset statements to extract an ever-decreasing portion of the
data, and place it into the R object d>
attach(d)
lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat =
'approximate'))
but when I convert these to:
r("attach(d)")
r"(lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat =
'approximate'))")
I get:
r("lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat
= 'approximate'))")
File "/usr/lib/python2.4/site-packages/rpy.py", line 198, in __call__
return self.eval(self.parse(text=s))
rpy.RException: Error: NA/NaN/Inf in foreign function call (arg 2)
:-(
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