我在这里和这里找到了类似的问题,但我似乎无法弄清楚如何为我自己的数据做这件事。
我在 python 中有一组浮点数列表(实际上,每个列表大约有 1,000 个浮点数);例如
[0.01,0.02,0.03,0.04,0.05]
[0.1,0.2,0.4,0.5,0.6,0.7]
[0.01,0.2,0.05,0.4]
对于每个列表,我想将 python 列表转换为 R 列表,对 R 列表执行 FDR 测试以获取 Q 值列表,然后将 Q 值的 R 列表转换回 python 列表,然后继续用我的脚本。
我的代码:
for each_list in SetOfLists:
ro.r("library('devtools')") #load necessary package for task
ro.r("library('qvalue')") #load necessary package for task
pvals = ro.FloatVector(each_list) #explain that each list is a set of floats
print ro.r("qobj <-qvalue(p=" + pvals + ")") #run the r function on each list
#ro.r("qobj$lfdr") #get the FDR values from the R output
#Then convert this list of FDR values back to python
我对这条线有问题:
print ro.r("qobj <-qvalue(p=" + pvals + ")")
例如,如果我制作该行:
print ro.r("qobj <-qvalue(p=" + pvals + ")")
错误是:
> Traceback (most recent call last): File "CalculateFDR.py", line 33,
> in <module>
> print ro.r("qobj <-qvalue(p=" + pvals + ")") TypeError: cannot concatenate 'str' and 'FloatVector' objects
如果我将行稍微更改为:
print ro.r("qobj <-qvalue(p= pvals)")
错误是:
res = super(Function, self).__call__(*new_args, **new_kwargs)
Traceback (most recent call last):
File "CalculateFDR.py", line 33, in <module>
print ro.r("qobj <-qvalue(p=pvals)")
File "/home/nis/aoife/env/local/lib/python2.7/site-packages/rpy2/robjects/__init__.py", line 321, in __call__
res = self.eval(p)
File "/home/nis/aoife/env/local/lib/python2.7/site-packages/rpy2/robjects/functions.py", line 178, in __call__
return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)
File "/home/nis/aoife/env/local/lib/python2.7/site-packages/rpy2/robjects/functions.py", line 106, in __call__
res = super(Function, self).__call__(*new_args, **new_kwargs)
rpy2.rinterface.RRuntimeError: Error in qvalue(p = pvals) : object 'pvals' not found
我知道问题是我没有正确地将 python 列表转换为 R 列表,我不确定如何正确执行此操作;因此建议表示赞赏。