Andrei -
Looking inside the code for cut, it looks like you could retrieve
the breaks as follows:
getbreaks = function(x,nbreaks){
nb = nbreaks + 1
dx = diff(rx <- range(x,na.rm=TRUE))
seq.int(rx[1] - dx/1000,rx[2] + dx/1000,length.out=nb)
}
The dx/1000 is what makes cut()'s br
On Fri, Oct 15, 2010 at 10:22 AM, Andrei Zorine wrote:
> Hello,
> My question is assuming I have cut()'ed my sample and look at the
> table() of it, how can I compute probabilities for the bins?
I actually don't know what you mean by this (my own ignorance probably).
Do I have
> to parse table'
Hello,
My question is assuming I have cut()'ed my sample and look at the
table() of it, how can I compute probabilities for the bins? Do I have
to parse table's names() to fetch bin endpoints to pass them to
p[distr-name] functions? i really don't want to input arguments to PDF
functions by hand (n
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