PopGplot: Smoothed line-plot for multiple populations
In pievos101/PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses
PopGplot R Documentation
Smoothed line-plot for multiple populations
Description
This function plots values with smoothed lines using spline interpolation.
Usage
PopGplot(values,colors=FALSE,span=0.1,ylab="",xlab="",
ylim=c(min(values,na.rm=TRUE),max(values,na.rm=TRUE)))
Arguments
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
Examples
# 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)
pievos101/PopGenome documentation built on Feb. 24, 2023, 7:11 a.m.
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| PopGplot | R Documentation |
Smoothed line-plot for multiple populations
Description
This function plots values with smoothed lines using spline interpolation.
Usage
PopGplot(values,colors=FALSE,span=0.1,ylab="",xlab="", ylim=c(min(values,na.rm=TRUE),max(values,na.rm=TRUE)))
Arguments
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 |
Examples
# 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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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