On 24/11/2017 6:27 AM, PIKAL Petr wrote:
Dear all
Strictly speaking it is not R question but as you are the most capable persons
I know I give it a try.
I am strugling with recalculation of number weighted to volume weighted
distribution.
Suppose I have objects (cubes) with size
x<- c(rep(10,20), rep(100, 10), rep(300,5))
I can get
plot(ecdf(x))
or the number weighted average
mean(x)
[1] 77.14286
or volume weighted average
weighted.mean(x, (x/sum(x^3)))
[1] 204.4444
However I am struggling with volume weighted ecdf.
Can you please give me some hints?
I believe base R doesn't have a function for this, but Google says it
exists in a couple of packages: spatstat, Hmisc. But you seem to be
asking about a definition rather than a function: it is obtained simply
by normalizing the weights to sum to 1, then evaluating cumulative sums
of them.
Duncan Murdoch
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