# untb

0th

Percentile

##### Ecological drift simulation under the Unified Neutral Theory of Biodiversity

Simulates ecological drift under the UNTB. Function untb() carries out the simulation; function select() carries out a single generational step.

Keywords
math
##### Usage
untb(start, prob=0, D=1, gens=150, keep=FALSE, meta=NULL)
select(a, D=length(a), prob=0, meta=NULL)
select.mutate(a, D=length(a), prob.of.mutate=0)
select.immigrate(a, D=length(a), prob.of.immigrate=0, meta)
##### Arguments
a, start
Starting ecosystem; coerced to class census. Usually, pass an object of class count; see examples. To start with a monoculture of size 10, use start=rep(1,10) and to use start=1:10.
prob, prob.of.immigrate, prob.of.mutate
Probability of new organism not being a descendent of an existing individual
D
Number of organisms that die in each timestep
gens
Number of generations to simulate
keep
In function untb() Boolean with default FALSE meaning to return the system at the end of the simulation and TRUE meaning to return a matrix whose rows are the ecosystem at successive times
meta
In function untb(), the metacommunity; coerced to a count object. Default of NULL means to use a greedy system in which every mutation gives rise to a new, previously unencountered speci
##### Details

Functions select.immigrate() and select.mutate() are not really intended for the end user; they use computationally efficient (and opaque) integer arithmetic.

##### References

S. P. Hubbell 2001. The Unified Neutral Theory of Biodiversity. Princeton University Press.

##### Aliases
• untb
• select
• select.immigrate
• select.mutate
##### Examples
data(butterflies)
untb(start=butterflies, prob=0, gens=100)

a <- untb(start=1:10,prob=0.005, gens=1000,keep=TRUE)
plot(species.count(a),type="b")
matplot(species.table(a),type="l",lty=1)
Documentation reproduced from package untb, version 1.6-5, License: GPL

### Community examples

Looks like there are no examples yet.