poppr (version 2.6.1)

aboot: Calculate a dendrogram with bootstrap support using any distance applicable to genind or genclone objects.

Description

Calculate a dendrogram with bootstrap support using any distance applicable to genind or genclone objects.

Usage

aboot(x, strata = NULL, tree = "upgma", distance = "nei.dist",
  sample = 100, cutoff = 0, showtree = TRUE, missing = "mean",
  mcutoff = 0, quiet = FALSE, root = NULL, ...)

Arguments

x

a '>genind, '>genpop, '>genclone, '>genlight, '>snpclone or matrix, object.

strata

a formula specifying the strata to be used to convert x to a genclone object if x is a genind object. Defaults to NULL. See details.

tree

a text string or function that can calculate a tree from a distance matrix. Defaults to "upgma". Note that you must load the package with the function for it to work.

distance

a character or function defining the distance to be applied to x. Defaults to nei.dist.

sample

An integer representing the number of bootstrap replicates Default is 100.

cutoff

An integer from 0 to 100 setting the cutoff value to return the bootstrap values on the nodes. Default is 0.

showtree

If TRUE (Default), a dendrogram will be plotted. If FALSE, nothing will be plotted.

missing

any method to be used by missingno: "mean" (default), "zero", "loci", "genotype", or "ignore".

mcutoff

a value between 0 (default) and 1 defining the percentage of tolerable missing data if the missing parameter is set to "loci" or "genotype". This should only be set if the distance metric can handle missing data.

quiet

if FALSE (default), a progress bar will be printed to screen.

root

is the tree rooted? This is a parameter passed off to boot.phylo. If the tree parameter returns a rooted tree (like UPGMA), this should be TRUE, otherwise (like neighbor-joining), it should be false. When set to NULL (default), the tree is considered rooted if is.ultrametric is true.

...

any parameters to be passed off to the distance method.

Value

an object of class phylo.

Details

This function utilizes an internal class called '>bootgen that allows bootstrapping of objects that inherit the genind class. This is necessary due to the fact that columns in the genind matrix are defined as alleles and are thus interrelated. This function will specifically bootstrap loci so that results are biologically relevant. With this function, the user can also define a custom distance to be performed on the genind or genclone object.

the strata argument

There is an argument called strata. This argument is useful for when you want to bootstrap by populations from a genind object. When you specify strata, the genind object will be converted to genpop with the specified strata.

See Also

nei.dist edwards.dist rogers.dist reynolds.dist prevosti.dist diss.dist bruvo.boot boot.phylo dist.genpop dist bootgen2genind '>bootgen

Examples

# NOT RUN {
data(nancycats)
nan9 <- popsub(nancycats, 9)

set.seed(9999)
# Generate a tree using nei's distance
neinan <- aboot(nan9, dist = nei.dist)

set.seed(9999)
# Generate a tree using custom distance
bindist <- function(x) dist(tab(x), method = "binary")
binnan <- aboot(nan9, dist = bindist)

# }
# NOT RUN {
# Distances from other packages.
#
# Sometimes, distance functions from other packages will have the constraint
# that the incoming data MUST be genind. Internally, aboot uses the 
# bootgen class ( class?bootgen ) to shuffle loci, and will throw an error
# The function bootgen2genind helps fix that. Here's an example of a function
# that expects a genind class from above
bindist <- function(x){
  stopifnot(is.genind(x))
  dist(tab(x), method = "binary")
}
#
# Fails:
# aboot(nan9, dist = bindist)
## Error: is.genind(x) is not TRUE
#
# Add bootgen2genind to get it working!
# Works:
aboot(nan9, dist = function(x) bootgen2genind(x) %>% bindist)

# AFLP data
data(Aeut)

# Nei's distance
anei <- aboot(Aeut, dist = nei.dist, sample = 1000, cutoff = 50)

# Rogers' distance
arog <- aboot(Aeut, dist = rogers.dist, sample = 1000, cutoff = 50)

# This can also be run on genpop objects
strata(Aeut) <- other(Aeut)$population_hierarchy[-1]
Aeut.gc <- as.genclone(Aeut)
setPop(Aeut.gc) <- ~Pop/Subpop
Aeut.pop <- genind2genpop(Aeut.gc)
set.seed(5000)
aboot(Aeut.pop, sample = 1000) # compare to Grunwald et al. 2006

# You can also use the strata argument to convert to genpop inside the function.
set.seed(5000)
aboot(Aeut.gc, strata = ~Pop/Subpop, sample = 1000)

# And genlight objects 
# From glSim:
## 1,000 non structured SNPs, 100 structured SNPs
x <- glSim(100, 1e3, n.snp.struc=100, ploid=2)
aboot(x, distance = bitwise.dist)

# Utilizing other tree methods

library("ape")

aboot(Aeut.pop, tree = fastme.bal, sample = 1000)

# Utilizing options in other tree methods

myFastME <- function(x) fastme.bal(x, nni = TRUE, spr = FALSE, tbr = TRUE)
aboot(Aeut.pop, tree = myFastME, sample = 1000)

# }