I spend some time trying to figure out how to use R via Rpy2. Here are a short python code that I used to calculate correlation using Rpy2
import rpy2.robjects as robjects
def get_rcorr(floatData, n_rows, method=”spearman”):
floatData: list of floats,
number of rows in the data matrix
Hmisc library needs to be loaded before calling this
function ( rcorr() comes from there)..
Library can be loaded with command: robjects.r(“library(Hmisc)”)
v = robjects.FloatVector(floatData)
dm = robjects.r[‘matrix’](v, nrow = n_rows)
res = robjects.r.rcorr(dm, type=method)
robjects.r(“library(Hmisc)”) # for rcorr()
print (get_rcorr([1.0,2.0,4.0,5.0,1.0,1.0,1.0,0.0], 4)
get_rcorr([1,2,4,5,1,1,1,0], 4) will create then matrix as follows
1.0 1.0 2.0 1.0 4.0 1.0 5.0 0.0 and calculate correlation (R, p) for that.