Hi,
You should separate parameters like you would do it for a regular function
call and use the class Formula.
from rpy2.robjects import Formula
r.lme(Formula("gpr ~1"), random = Formula("~1 ..."))
On Feb 24, 2013 6:32 AM, "David Haynes" <hayne...@gmail.com> wrote:
> Hello,
>
> I have a question about using a dataframe in the R function (lme)
> This is the r function I am trying to run
> r.lme("gpr ~ 1, random =~1 | groups, weights")
>
> This is the summary of the code.
>
> import rpy2
> import rpy2.robjects as robjects
> r = robjects.r
> r.library('nlme')
>
> d = {'id': robjects.IntVector(district_list), 'gpr':
> robjects.FloatVector(district_gpr), 'weight':
> robjects.FloatVector(district_weight)}
> dataf = robjects.DataFrame(d)
> model = "gpr ~ 1, random = ~1 | id, weight"
> rs = r.lme(model, dataf)
>
> This is my error:
> Traceback (most recent call last):
> File "<pyshell#105>", line 1, in <module>
> rs = r.lme(model, dataf)
> File "C:\Python27\lib\site-packages\rpy2\robjects\functions.py", line
> 86, in __call__
> return super(SignatureTranslatedFunction, self).__call__(*args,
> **kwargs)
> File "C:\Python27\lib\site-packages\rpy2\robjects\functions.py", line
> 35, in __call__
> res = super(Function, self).__call__(*new_args, **new_kwargs)
> RRuntimeError: Error in UseMethod("lme") :
> no applicable method for 'lme' applied to an object of class "character"
>
> I have tried attaching the dataframe and I still get the same error
>
>
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