sim.multi.URW: Simulate multivariate evolutionary sequence data that evolve...

In klvoje/evoTS: Analyses of Evolutionary Time-Series

Simulate multivariate evolutionary sequence data that evolve according to an Unbiased Random Walk

Description

Function to simulate multivariate evolutionary sequence data that evolve according to an Unbiased Random Walk

Usage

sim.multi.URW(
  ns = 30,
  anc = c(0, 0),
  R = matrix(c(0.5, 0, 0, 0.5), nrow = 2, byrow = TRUE),
  vp = 0.1,
  nn = rep(30, ns),
  tt = 0:(ns - 1)
)

Arguments

ns	number of samples in time-series
anc	the ancestral trait values
R	the drift matrix
vp	within-population trait variance
nn	vector of the number of individuals in each sample (identical sample sizes for all time-series is assumed)
tt	vector of sample ages, increases from oldest to youngest

Value

A multivariate evolutionary sequence (time-series) data set.

Author(s)

Kjetil Lysne Voje

Examples

## Create a multivariate dataset
data_set<-sim.multi.URW(40, R = matrix(c(0.2,0.1,0.1,0.3), nrow=2, byrow = TRUE))

## plot the data
plotevoTS.multivariate(data_set)

klvoje/evoTS documentation built on June 29, 2024, 10:26 p.m.