anc.est.plot: Ancestral estimate plot

In nicholsonppp: Evolution simulation and classification

Description

Plot naive estimates of ancestral allele frequency versus actual values from the simulation, to see if they agree.

Usage

anc.est.plot(est.df, hilite.locus = NULL, sub = deduce.param.label(attr(est.df, "parameters")), selection.colors = selection.colors.default, selection.symbols = selection.symbols.default, f = ancestral.est ~ ancestral, xlab = "Simulated blue allele frequency", ylab = "Estimated blue allele frequency", main = "Allele frequency estimates vary with selection type")

Arguments

est.df	Data frame describing loci and ancestral estimates. Need columns type ancestral ancestral.est.
hilite.locus	Locus number to highlight on the plot with a circle. NULL means do not highlight.
sub	Subtitle for the plot.
selection.colors	Colors for the different selection types (balancing, neutral, positive)
selection.symbols	Symbols for the different selection types (balancing, neutral, positive)
f	Plot formula for xyplot.
xlab
ylab
main

Value

The lattice plot.

Author(s)

Toby Dylan Hocking <[e-mail]>

Examples

library(nicholsonppp)
sim <- sim.drift.selection()
df <- sim2df(sim)
est <- anc.est.naive(df[df$generation==sim$p$gen,])
anc.est.plot(est)

nicholsonppp documentation built on May 2, 2019, 5:55 p.m.