divide_probs_by_number_of_options_nums: Divide each type of event by its frequency, return calculated...
In BioGeoBEARS: BioGeography with Bayesian (and Likelihood) Evolutionary Analysis in R Scripts

Description Usage Arguments Details Value Note Author(s) References See Also Examples

In a speciation/cladogenesis matrix, the conditional probabilities of each row must sum to 1. This function sums the number of events of each category and scales them accordingly.

1	divide_probs_by_number_of_options_nums(spPmat, probmat)

`spPmat`	A matrix of numbers, where each cell contains the conditional probability of that ancestor–>(Left descendant,Right descendant) range inheritance scenario.
`probmat`	A matrix of text, describing each of the allowed range-inheritance events.

This function returns the calculated conditional probabilities.

spPmat A matrix of numbers, where each cell contains the conditional probability of that ancestor–>(Left descendant,Right descendant) range inheritance scenario.

Go BEARS!

Nicholas J. Matzke matzke@berkeley.edu

http://phylo.wikidot.com/matzke-2013-international-biogeography-society-poster

Matzke_2012_IBS

make_relprob_matrix_bi, divide_probs_by_number_of_options_txt

testval=1
spmat = make_relprob_matrix_bi()
spmat

spmat1 = divide_probs_by_number_of_options_txt(spmat)
spmat1


probmat = spmat
spPmat = symbolic_to_relprob_matrix_sp(spmat, cellsplit="\\+",
mergesym="*", ys=1, j=0, v=1, maxent_constraint_01=0.0001,
maxent_constraint_01v=0.0001, max_numareas=3)
spPmat
probmat2 = divide_probs_by_number_of_options_nums(spPmat, probmat)
probmat2

probmat = spmat1
spPmat = symbolic_to_relprob_matrix_sp(spmat, cellsplit="\\+",
mergesym="*", ys=1, j=0, v=1, maxent_constraint_01=0.0001,
maxent_constraint_01v=0.0001, max_numareas=3)
spPmat
probmat3 = divide_probs_by_number_of_options_nums(spPmat, probmat)
probmat3