D. R. Evans said the following at 09/05/2007 04:25 PM :
> 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
> = '
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
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
D. R. Evans wrote:
> I have the following piece of R code:
>
>
>
> # next line loads a variable called "dat"
> load('/tmp/dat.R')
>
> # make a copy
> d <- dat
>
> # extract the dat$web fields for the future
> d <- subset(d, web == 'future')
>
>
>
> In rpy, I figured out that the equ
I have the following piece of R code:
# next line loads a variable called "dat"
load('/tmp/dat.R')
# make a copy
d <- dat
# extract the dat$web fields for the future
d <- subset(d, web == 'future')
In rpy, I figured out that the equivalent starts out with:
r.load('/tmp/dat.r')
Hello Manuzhai (and RPy'ers)
I try to be pretty responsive, but have been really busy the last
month or so setting up a new company to provide commercial packaging,
support and services for R and RPy. Check us out at http://random-
technologies-llc.com.
I'll take a look at your patches, an
Right, there I am again...
Since my last email, I've been trying to get my own version of RPy
(including the two patches that I sent earlier) to run on the Win XP
laptops. I've tried the official version as well (this is with Python
2.5.1.1 from ActiveState, NumPy 1.0.3.1 or some such, and R 2.5.1
Hello there,
I'm looking at using RPy for a production system for a pretty big
financial system, so this might not be the last time I'm emailing this
list... I can see from the svn log that development is not that
quick, but are the developers (people w/ commit access) paying
attention?
Well, if
