Rpy2を使用してBioconductorで古典的な遺伝子発現の例を実行する方法を模索していますが、最初は行き詰まっています。データをどのようにロードしますか?Rでは次のことを行います。
> library('ALL')
> library('limma')
> data('ALL')
Pythonでは次のことを行います。
>>> import rpy2.robjects as robjects
>>> from rpy2.robjects.packages import importr
>>> base = importr('base')
>>> ALL = importr('ALL')
Pythonと同等の方法:
> data('ALL') ??
拡張機能のドキュメントにパッケージデータが読み込まれる例はありません。signature "character"
私はこれがそれである可能性があると思いましたが、データはに供給されたときに持っているので、適切なクラスではないようですfeatureNames
:
>>> data = robjects.r('data(ALL)')
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x1004b3828 / R:0x10376d558>
>>> featureNames = robjects.r('featureNames')
>>> featureNames(data)
Error in function (classes, fdef, mtable) :
unable to find an inherited method for function "featureNames", for signature "character"
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/2.6/site-packages/rpy2-2.2.2dev_20110818-py2.6-macosx-10.6-universal.egg/rpy2/robjects/functions.py", line 82, in __call__
return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)
File "/Library/Python/2.6/site-packages/rpy2-2.2.2dev_20110818-py2.6-macosx-10.6-universal.egg/rpy2/robjects/functions.py", line 34, in __call__
res = super(Function, self).__call__(*new_args, **new_kwargs)
rpy2.rinterface.RRuntimeError: Error in function (classes, fdef, mtable) :
unable to find an inherited method for function "featureNames", for signature "character"
更新:私は今それを持っていると思います:
>>> import rpy2.robjects as robjects
>>> from rpy2.robjects.packages import importr
>>> base = importr('base')
>>> ALL = importr('ALL')
>>> data = robjects.r('data(ALL)')
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x258b190 / R:0xdf86c8>
>>> data = robjects.globalenv['ALL']
>>> data
<RS4 - Python:0x2591490 / R:0x29a2134>
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x258b3b0 / R:0xdf85c8>
>>> featureNames = robjects.r('featureNames')
>>> featureNames(data)
<StrVector - Python:0x23e4f08 / R:0x304fc00>
['1000..., '1001..., '1002..., ..., 'AFFX..., 'AFFX..., 'AFFX...]
>>> exprs = robjects.r['exprs']
>>> e = exprs(data)
>>> e
<Matrix - Python:0x23b2da0 / R:0x84d8000>
[7.597323, 5.046194, 3.900466, ..., 3.095670, 3.342961, 3.842535]
>>>