As a general note, if you want to do R-like manipulation of data in
Python, you should look into 'numpy'. It's very standard, and provides
an array type that works like R vectors, plus functions like 'log' and
'sum' that apply to all elements quickly. rpy2 also has some code to
make it easy to inte
I am a bit confused now I am using rinterface and not robjects so how do I
managed to do the same with the rinterface? If I try to multiply two
IntSexpVectors I just get a combination of vectors as in python rather than
an actual sum of the two as in R.
2012/2/23 Laurent Gautier
> On 2012-02-
Thank you Laurent for your quick reply.
The if k[i] == 0 in R is implement as being + p * (x == 0) which will add
p if k[i]==0 or zero if not. I was trying to came up with a closer
implementation but I cannot do sums or multiplications between Robjects is
that right?
2012/2/23 Laurent Gautier
Hello everyone'
I am trying to port an R function to estimate some parameters to the rpy2
but the performance in python is appaling. So I was wondering if there is a
best way of doing this. What I have at the moment is:
R code
finbinom <-function(pars,x)
{
p<-pars[1]
mu <- pars[2]
size <- pars[3]
