PopGplot: Smoothed line-plot for multiple populations
In PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses

This function plots values with smoothed lines using spline interpolation.

1 2	PopGplot(values,colors=FALSE,span=0.1,ylab="",xlab="", ylim=c(min(values,na.rm=TRUE),max(values,na.rm=TRUE)))

`values`	the statistical values (matrix); columns=populations
`colors`	the colors for each population (character vector)
`span`	the degree of smoothing
`ylab`	a title for the y axis
`xlab`	a title for the x axis
`ylim`	ranges for the y axis

# GENOME.class <- readSNP("Arabidopsis",CHR=1)
# GENOME.class.slide <- sliding.window.transform(test,1000,1000)
# GENOME.class.slide <- diversity.stats(GENOME.class.slide)
# values <- GENOME.class.slide@nuc.divesity.within
# PopGplot(values)

PopGenome documentation built on Feb. 1, 2020, 1:07 a.m.