Count.BrokenStick: Applies the Broken Stick model to a vector of count data.
In aramette/otu2ot: Calculate oligotypes for aligned FASTA sequences

Description Usage Arguments Details Value Author(s) References Examples

Applies the Broken Stick model to a vector of count data, plots summary histograms if desired.

1	Count.BrokenStick(Counts, Plot = TRUE)

`Counts`	numeric vector. A vector of counts.
`Plot`	logical. If TRUE, two histograms are produced. The first one is a sorted version of the observed abundances and with the mean abundance indicated. The second one depicts observed vs. modelised relative abundances.

Broken stick model (MacArthur 1957) and function about the expected lengths of the pieces of the broken stick model from Pielou 1975

A list with two slots:

`Table`	The first line gives the observed relative abundances vs. the ones predicted by the model.
`HigherThanBSM`	Provides the list of cases higher than predicted by the model.

Alban Ramette

MacArthur 1957.

Count.BrokenStick (Counts=seq(10,100,10))

AbundVector=c(100,50,10,5,3)
names(AbundVector)=LETTERS[1:5]
Count.BrokenStick(Counts=AbundVector, Plot = TRUE)