On Tue, Apr 3, 2012 at 5:12 PM, Laurent Gautier <lgaut...@gmail.com> wrote:
> On 2012-04-03 16:51, Dirk Eddelbuettel wrote:
>> On 3 April 2012 at 15:31, Niek de Klein wrote:
>> | Hi everyone,
>> |
>> | When I do:
>> |
>> | import rpy2.robjects as R
>> | exampleDict = {'colum1':R.IntVector([1,2,3]),
>> 'column2':R.FloatVector([1,2]),
>> | 'column3':R.FloatVector([1,2,3,4])}
>> | R.DataFrame(exampleDict)
>> |
>> | I get the error that the rows are not of the same lenghts: "arguments
>> imply
>> | differing number of rows: 2, 4, 3".
>> |
>> | How I solved it before is to loop through the lists before making them
>> vectors
>> | and adding NA to all the lists that are smaller than the longest until
>> they are
>> | all of the same length. Is there an easy way of making a dataframe with
>> rpy2
>> | with different column lengths?
>>
>> No, R imposes equal length of all vectors with a data.frame.
>>
>> Dirk
>>
>
> Being R, there is (of course) a catch: except with vectors of length 1.
>
> > data.frame(x=1:3, y=1)
> x y
> 1 1 1
> 2 2 1
> 3 3 1
Well, it is bit more tricky :)
> data.frame(x=c(1,2), y=c(1,2,3,4))
x y
1 1 1
2 2 2
3 1 3
4 2 4
Regards,
w
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