PopGenome (version 2.1.6)

set.populations-methods: Define populations

Description

This generic function defines the populations. Using this function obviates the need to specify the populations for each calculation separately. The populations can be set differently for different PopGenome modules by applying the function between module calls.

Usage

"set.populations"(object,new.populations=FALSE, diploid=FALSE, triploid=FALSE,tetraploid=FALSE)

Arguments

object
an object of class "GENOME"
new.populations
list of populations. default:FALSE
diploid
if diploid data is present
triploid
if triploid data is present
tetraploid
if tetraploid data is present

Examples

Run this code

# GENOME.class <- readData("\home\Alignments")
# pop.1 <- c("seq1","seq2")
# pop.2 <- c("seq3","seq4","seq1")
# GENOME.class <- set.populations(GENOME.class,list(pop.1,pop.2))
# GENOME.class@region.data@populations2
# GENOME.class <- neutrality.stats(GENOME.class)

Run the code above in your browser using DataCamp Workspace