Nothing
plotPatterns <- function(compareData,
yLimit1=NULL,
yLimit2=NULL)
{
if(class(compareData) != "data.frame") {
stop("compareData must be a data.frame")
}
if(is.null(yLimit1)) {
yLimit1 <- ceiling(max(compareData$observedDistribution, compareData$estimatedDistribution) * 10.2) / 10
}
if(is.null(yLimit2)) {
yLimit2 <- quantile(sort(compareData$observedDistribution), 0.9)
}
layout(matrix(c(1, 2, 3), 3, 1, byrow=TRUE), heights=c(5, 1, 5))
par(mar=c(5.4, 5, 2, 5))
plot(compareData$estimatedDistribution,
pch=4,
col='white',
xlab='pattern',
ylab='proportion',
cex.lab=1.5,
ylim=c(0, yLimit1))
points(compareData$estimatedDistribution, pch=4, col='red')
par(new=TRUE)
plot(compareData$coverage,
col='blue',
pch=3,
xlab='',
ylab='',
ylim=c(0, sum(compareData$coverage) * yLimit1),
axes=FALSE)
axis(side=4)
mtext('coverage', side=4, line=2.5)
abline(0, 0, col='grey')
par(mar=c(0, 0, 0, 5))
plot.new()
legend('right', c('observed distribution','estimated distribution'), pch=c(3,4), col=c('BLUE', 'RED'))
par(mar=c(5.4, 5, 2, 5))
plot(compareData$estimatedDistribution,
pch=4,
col='white',
xlab='pattern',
ylab='proportion',
cex.lab=1.5,
ylim=c(0, yLimit2))
points(compareData$estimatedDistribution, pch=4, col='red')
par(new=TRUE)
plot(compareData$coverage,
col='blue',
pch=3,
xlab='',
ylab='',
ylim=c(0,sum(compareData$coverage) * yLimit2),
axes=FALSE)
axis(side=4, at=c(compareData$coverage, 0, 10))
mtext('coverage', side=4, line=2.5)
abline(0, 0, col='grey')
}
# vim:ft=r:ts=4:sw=4:sts=4:expandtab:
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