eelbrain.Dataset.to_r

Dataset.to_r(self, name=None)

Place the Dataset into R as dataframe using rpy2

Parameters:

name : str

Name for the R dataframe (default is self.name).

Examples

>>> from rpy2.robjects import r
>>> ds = datasets.get_uv()
>>> print(ds[:6])
A    B    rm     intvar   fltvar     fltvar2    index
-----------------------------------------------------
a1   b1   s000   13       0.25614    0.7428     True
a1   b1   s001   8        -1.5174    -0.75498   True
a1   b1   s002   11       -0.5071    -0.13828   True
a1   b1   s003   11       2.1491     -2.1249    True
a1   b1   s004   15       -0.19358   -1.03      True
a1   b1   s005   17       2.141      -0.51745   True
>>> ds.to_r('df')
>>> print(r("head(df)"))
   A  B   rm intvar     fltvar    fltvar2 index
1 a1 b1 s000     13  0.2561439  0.7427957  TRUE
2 a1 b1 s001      8 -1.5174371 -0.7549815  TRUE
3 a1 b1 s002     11 -0.5070960 -0.1382827  TRUE
4 a1 b1 s003     11  2.1490761 -2.1249203  TRUE
5 a1 b1 s004     15 -0.1935783 -1.0300188  TRUE
6 a1 b1 s005     17  2.1410424 -0.5174519  TRUE