Does anyone know how to create log probability plot like this one in R where the x-axis is probability and y-axis is in log-scale. I read and downloaded the package heR.Misc
Here is an example using base R, simplified a bit from this post: (https://stat.ethz.ch/pipermail/r-help/2004-February/045370.html).
## Make some data
y <- rnorm(n=175, mean=100, sd=75)
y <- sort(y)
pct <- 1:length(y)/(length(y)+1)
## For x ticks
probs <- c(0.0001, 0.001, 0.01, 0.1, 0.3, 0.5, 0.7,
0.9, 0.99, 0.999, 0.9999)
x.vals <- qnorm(probs)
## Plotting area
xs <- c(-4, 4)
ys <- seq(-2,4)
par(xaxs="i", yaxs="i")
plot(NA, NA, xlim=c(xs[1], xs[2]), ylim=c(min(ys), max(ys)),
axes=FALSE, xlab=NA, ylab=NA)
## X Axis
axis(side=1, at=x.vals, labels=FALSE, tck=-0.01)
text(x=x.vals, y=rep(min(ys)-0.35, length(x.vals)),
labels=probs*100, xpd=TRUE, srt=325, font=2)
## Y Axis
axis(side=2, at=ys, labels=FALSE)
text(y=ys, x=rep(xs[1]-.08, length(ys)),
labels= as.character(10^ys), xpd = NA, font=2,
pos=2)
for (i in ys){
axis(side=2, at=log10(seq(2,9))+ i,
labels=NA, tck = -0.01)
}
## Grid lines and box
abline(h=ys, col="grey80", lty=2)
abline(v=qnorm(probs), col="grey80", lty=2)
box()
## Plot Data
lines(x=qnorm(pct), y=log10(y), col="blue")