Dear R-Users,
my objective is to measure the overlap/divergence of two probability
density functions, p1(x) and p2(x). One could apply the chi-square test
or determine the potential mixture components and then compare the
respective means and sigmas. But I was rather looking for a simple
measure
Hello there,
I am using the 'nlme' package to analyse among group and in between
group variances. I do struggle a little using the respective
plot-functions. I created a grouped object:
group.lme - groupedData(obsday ~ oro | id,
data=read.table(data-lme.txt, header=T),
labels=list(x =
