ggcompoplot: Plot posterior values from DAPC analysis in adegenet

In zkamvar/ggcompoplot: Plot Posterior Assignment Values From a 'DAPC' Analysis

Description

Plot posterior values from DAPC analysis in adegenet

Usage

ggcompoplot(da.object, gid, pal = rainbow, cols = 1)

Arguments

da.object	an object of class "dapc"
gid	an object of class "genind"
pal	a color palette
cols	the number of columns to display

Value

a ggplot object with each population stacked on top of each other.

Examples

library('adegenet')
library('ggcompoplot')
library('ggplot2')
data(microbov)
strata(microbov) <- data.frame(other(microbov))
dapc1 <- dapc(microbov, n.pca=20, n.da=15)
setPop(microbov) <- ~breed
compoplot(dapc1, lab="") # Adegenet compoplot
# Showing per breed
ggcompoplot(dapc1, microbov) + theme(axis.text.x = element_blank())
## Not run: 

# 3 columns
ggcompoplot(dapc1, microbov, col = 3) + theme(axis.text.x = element_blank())

# Different color palette
ggcompoplot(dapc1, microbov, col = 3, pal = funky) + theme(axis.text.x = element_blank())

# Per Country
setPop(microbov) <- ~coun
ggcompoplot(dapc1, microbov) + theme(axis.text.x = element_blank())

## End(Not run)

zkamvar/ggcompoplot documentation built on May 4, 2019, 11:24 p.m.