sample.trs: Sample subsample sizes and size trajectories according to a...

In pcrcoal: Implementing the Coalescent Approach to PCR Simulation Developed by Weiss and Von Haeseler (NAR, 1997)

Description

This method also returns the subsample sizes and size trajectories sampled according to the PCR experiment specified by the parameters stored in the slots of the PCRcoal object given as the first argument.

This method does not sample the tree, which makes it faster than the sample.tree method. Use this method if you are interested only in sampling subsamples and size trajectories.

Usage

	## S4 method for signature 'PCRcoal'
sample.trs(object)

Arguments

object

A PCRcoal object, with all the slots defined.

Value

A list containing the following elements:

trajectories

A matrix containing the sampled size trajectories (rows ~ subsamples, columns ~ cycles).

subsamples

A vector of subsample sizes.

See Also

The PCRcoal class. The sample.tree and sample.tnt methods.

Examples

	# Construct a PCRcoal object 
	# and specify the experimental conditions:
	sim <-PCRcoal(
        initial.size    =5,
        sample.size     =10,
        nr.cycles       =30,
        efficiencies    =c(rep(0.1, 30))
    	)

	# Sample subsample sizes and size trajectories:
	res <- sample.trs(sim)

	# Print subsample sizes:
	print(res$subsamples)

	# Print size trajectories:
	print(res$trajectories)

pcrcoal documentation built on May 1, 2019, 8:03 p.m.