[英]Wrap R function in python
I would like to wrap a R function contained in a package princurve. 我想将princurve包中的R函数包装起来。 With ipython I do it successfully with an ipython cell R magic: 使用ipython,我可以使用ipython cell R magic成功完成此操作:
%%R -i X -o s,lambda
fit1<-principal.curve(X)
s <- fit1$s
l <- fit1$lambda
but I want a function that I can import from a module like: 但是我想要一个可以从模块导入的函数,例如:
from mymodule import principal_curve
s, l = principal_curve(X)
I guess I have to use rpy directly, I am not sure how... 我想我必须直接使用rpy,我不确定如何...
I don't use R but using this example in the docs you can define a function and import it into a python module: 我不使用R,但是在文档中使用此示例,您可以定义一个函数并将其导入到python模块中:
r_mod.py r_mod.py
from rpy2.robjects.packages import SignatureTranslatedAnonymousPackage
string = """
square <- function(x) {
return(x^2)
}
cube <- function(x) {
return(x^3)
}
"""
powerpack = SignatureTranslatedAnonymousPackage(string, "powerpack")
py_mod.py py_mod.py
from r_mod import powerpack
print powerpack.square(3)
[1] 9
Whenever a function is in an R package, you can use importr
: 只要R包中有函数,就可以使用importr
:
from rpy2.robjects.packages import importr
princurve = importr('princurve')
princurve.principal_curve(X)
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