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
L.
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