informloci {poppr}

Remove all non-phylogentically informative loci

Description

This function will facilitate in removing phylogenetically uninformative loci from a genclone or genind object. The user has the ability to define what uninformative means by setting a cutoff value for either percentage of differentiating genotypes or minor allele frequency.

Usage

informloci(pop, cutoff = 2/nInd(pop), MAF = 0.01, quiet = FALSE)

Arguments

pop

a genclone or genind object.

cutoff

numeric. A number from 0 to 1 defining the minimum number of differentiating samples.

MAF

numeric. A number from 0 to 1 defining the minimum minor allele frequency. This is passed as the thresh parameter of isPoly.

quiet

logical. When quiet = TRUE (default), messages indicating the loci removed will be printed to screen. When quiet = FALSE, nothing will be printed to screen.

Details

This function will remove uninformative loci using a traditional MAF cutoff (using isPoly from adegenet) as well as analyzing the number of observed genotypes in a locus. This is important for clonal organisms that can have fixed heterozygous sites not detected by MAF methods.

Value

A genind object with user-defined informative loci.

Note

This will have a few side effects that affect certain analyses. First, the number of multilocus genotypes might be reduced due to the reduced number of markers (if you are only using a genind object). Second, if you plan on using this data for analysis of the index of association, be sure to use the standardized version (rbarD) that corrects for the number of observed loci.

Author(s)

Zhian N. Kamvar

Examples

# We will use a dummy data set to demonstrate how this detects uninformative
# loci using both MAF and a cutoff.

genos <- c("A/A", "A/B", "A/C", "B/B", "B/C", "C/C")

v <- sample(genos, 100, replace = TRUE)
w <- c(rep(genos[2], 99), genos[3])           # found by cutoff
x <- c(rep(genos[1], 98), genos[3], genos[2]) # found by MAF
y <- c(rep(genos[1], 99), genos[2])           # found by both
z <- sample(genos, 100, replace = TRUE)
dat <- df2genind(data.frame(v = v, w = w, x = x, y = y, z = z), sep = "/")

informloci(dat)

## Not run: 
# Ignore MAF
informloci(dat, MAF = 0)

# Ignore cutoff
informloci(dat, cutoff = 0)

# Real data
data(H3N2)
informloci(H3N2)


## End(Not run)