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> Hi John,
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> Actually, I used rpy
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Re: [Rpy] Rpy problem
Hi John,
Actually, I used rpy classic in my program. I wonder whether it is
possible to introduce the results of ks package for rpy2 and then I
distinguish my result or not?? Since rpy classic has pr
v-Smirnov test.
> ks = ks_test(uaData,"pnorm", mean=r.mean(uaData),
> sd=r.sqrt(r.var(uaData)))
> print " One-sample Kolmogorov-Smirnov test of the UA data"
> #print ks
> print "D = %.4f" % ks.r['statistic'][0][0]
>
an(uaData),
sd=r.sqrt(r.var(uaData)))
print " One-sample Kolmogorov-Smirnov test of the UA data"
#print ks
print "D = %.4f" % ks.r['statistic'][0][0]
print "p-value = %.4f" % ks.r['p.value'][0][0]
print "Alte
Hi all,
I tried the method that one of you proposed for attributing components on a
list but the problem is that when I want to devote eval.points which is a
list and contains two components. It could only devote the first component
and actually it could not recognize the second one.
>>>list_names
Hi,
I have written a program in python and then I used the ks(kernel density
estimator)package of R for smoothing my dataset. Now, I need to extract the
information which has been calculated by the package. The result is somthing
like that:
r.str(j)
List of 4
$ x : num [1:3105, 1:2] 0.95
