AR.barplot: Plots a barplot with standardized allelic richness

In UWMAlberto-Lab/StandArich2: Standardizes n to estimate allelic richness and plots

Plots a barplot with standardized allelic richness

Description

Plots a barplot with standardized allelic richness for n equal to the smallest population size in the data. Uses the list object produced by rgenotypes.arich as input values. 95

Usage

AR.barplot(Rlist,lwd=10,col="black",b.bar.x=5,popsize=0.7,error.bar=F)

Arguments

Rlist	a list like the one produced by rgenotypes.arich with elements R, A and A.sd
lwd	the width of each bar. The plot used type="h" to produce the bars so this is the lwd used for R line width
col	a vector of color names for each population. Defaults to black
b.bar.x	the space in x plotting units between consecutive bars. Defaults to 5.
popsize	the size for pop names printed in the x axis, controled by par(cex=popsize). Defaults to 0.7.
error.bar	A logical value to print 95

Once rgenotypes.arich produces the randomized data set with permutation of n, this function can be used to plot a barplot of allelic richness for n equal to the smallest population size across all sites. A vector of colors can be used to plot different populations' bars with different color. a barplot of Allelic richness Alberto F, Arnaud-Haond S, Duarte CM, Serrao EA (in press) Genetic diversity of a clonal angiosperm near its range limit: the case of Cymodocea nodosa in the Canary Islands. Marine Ecology Progress Series Filipe Alberto, Department of Biological Sciences, University of Wisconsin-Milwaukee rgenotypes.arich,allele.genotype.plot { data(Exdata) Exresults<-rgenotypes.arich(Exdata,3) AR.barplot(Exresults, error.bar=T,lwd=50,b.bar.x = 1) } { dplot }

UWMAlberto-Lab/StandArich2 documentation built on March 28, 2023, 1:10 a.m.