Hello,
I am new to RPy (and R in general) and am having trouble getting
started. I'm performing a linear regression as follows:
r = robjects.r
xVec = robjects.FloatVector(X)
yVec = robjects.FloatVector(Y)
robjects.globalEnv["xVec"] = xVec
robjects.globalEnv["yVec"] = yVec
reg = r.lm("xVec ~ yVec")
print(r.summary(reg))
This works like a charm, although I am a little confused at why I need
to declares my vectors into the global R namespace. However, my real
problem is dealing with the results. For example, I can obtain the
adjusted r squared value as follows:
summary = r.summary(reg)
aRR = summary.r["adj.r.squared"]
Now, print(aRR) gives me:
$adj.r.squared
[1] 0.1106428
My question is how do I get at the actual value 0.1106428. I would
have thought aRR[0] would do the trick, but this just returns an
RVector. Obviously I am missing something fundamental here. Thanks for
any and all help.
Thanks,
Donovan
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