simulate.uncor.gamma: simulate.uncor.gamma

In sebastianduchene/NELSI: NELSI: Nucleotide EvoLution Simulator

simulate.uncor.gamma

Description

Simulate the rate of evolution along a phylogenetic tree using the gamma distributed rates model described in Drummond et al. (2006)

Usage

simulate.uncor.gamma(tree, params = list(shape = 3.98, rate = 516.53))

Arguments

tree	A phylogenetic tree of class 'phylo'. The branch lengths should be in units of time (chronogram)
params	parameters for the uncorrelated rates function. This should be a list with two items:
shape	The shape of the gamma distribution. It follows the usual parametrisation of the gamma distribution
rate	The rate of the gamma distribution. Note that this is different from the substitution rate. Instead, this the the rate parameter typically used for the gamma distribution

Details

None

Value

An object of class 'ratesim'. This is a list with two items:

phylogram	The phylogenetic tree with branch lengths in units of substitutions (phylogram)
tree.data.matrix	This is a matrix with the number of substitutions, rates, and times along every branch in the tree. See get.tree.data.matrix for more details

Note

Notes

Author(s)

Sebastian Duchene. See the reference for the original description of the model.

References

Drummond, A.J., et al. "Relaxed phylogenetics and dating with confidence." PLoS biology 4.5 (2006): e88.

See Also

simulate.uncor.lnorm simulate.uncor.exp

Examples

set.seed(1234525)

myTree <- rcoal(50)

rateTree <- simulate.uncor.gamma(tree = myTree, params = list(shape = 3.98, rate = 516.53))
plot(rateTree, col.lineages = rainbow(50))

#See the histogram of the branch-wise rates
hist(rateTree$tree.data.matrix[, 5])

## The function is currently defined as
function (tree, params = list(shape = 3.98, rate = 516.53)) 
{
    shape.gamma <- params$shape
    rate.gamma <- params$rate
    data.matrix <- get.tree.data.matrix(tree)
    branch.rates <- rgamma(n = length(tree$edge.length), shape = shape.gamma, 
        rate = rate.gamma)
    data.matrix[, 5] <- branch.rates
    data.matrix[, 6] <- data.matrix[, 5] * data.matrix[, 7]
    tree$edge.length <- data.matrix[, 6]
    res <- list(tree, data.matrix)
    names(res) <- c("phylogram", "tree.data.matrix")
    class(res) <- "ratesim"
    return(res)
  }

sebastianduchene/NELSI documentation built on Aug. 18, 2022, 11:45 p.m.