indicators {phyloregion} | R Documentation |
Top driving species in phyloregions
Description
This function applies a KL-divergence approach to a list of indicator species in phyloregions.
Usage
indicators(
theta,
top_indicators = 5,
method = c("poisson", "bernoulli"),
options = c("min", "max"),
shared = FALSE
)
Arguments
theta |
A matrix or data.frame of cluster probability distributions from a topics modeling. |
top_indicators |
Integer to obtain the top driving species in clusters. |
method |
The model assumption for KL divergence measurement. Available choices are "poisson" (default) and "bernoulli". |
options |
Option "min" selects species that maximize the minimum KL divergence of a phyloregion vs all other phyloregions. Option "max" selects species that maximize the maximum KL divergence of a phyloregion against all other phyloregions. |
shared |
Logical if TRUE, lists top species driving patterns in more than one phyloregion. |
Value
A list of top indicator species and their indicator values
Examples
data(africa)
indsp <- indicators(africa$theta, top_indicators = 5,
options = "max", method = "poisson")
[Package phyloregion version 1.0.8 Index]