Hi there,
I haven't seen any answers to your question on the list, so here's a
rather late response.
I'm not familiar with the VGAM package, but if you just want to fit
Zipf's law (did you mean Zipf's law or an actual probability
distribution?) to some data, why not do this directly with nl
Dear R-users,
I am new to R and would like to use it for fitting the zipf distribution to
some numeric data that I have. Here's the snippet that I use:
library(VGAM)
X <- read.table(file("~\\mydata.txt", encoding="latin1"))
w <- as.vector(t((X[2])))
w <- w/sum(w)
y <- (1:length(w))
fit
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