[R] Cumulative Points and Confidence Interval Manipulation in barplot2
Bret Collier
bret at tamu.edu
Tue Apr 12 17:14:12 CEST 2005
R-Users,
I am working with gplots (in gregmisc bundle) plotting some posterior
probabilities (using barplot2) of harvest bag limits for discrete data
(x-axis from 0 to 12, data is counts) and I ran into a couple of
questions whose solutions have evaded me.
1) When I create and include the confidence intervals, the lower bound
of the confidence intervals for several of the posterior probabilities
is below zero, and in those specific cases I only want to show the upper
limit for those CI's so they do not extend below the x-axis (as harvest
can not be <0). Also, comments on a better technique for CI
construction when the data is bounded to be >=0 would be appreciated.
2) I would also like to show the cumulative probability (as say a
point or line) across the range of the x-axis on the same figure at the
top, but I have been unable to figure out how to overlay a set of
cumulative points over the barplot across the same range as the x-axis.
Below is some example code showing the test data I am working on
(xzero):
xzero <- table(factor(WWNEW[HUNTTYPE=="DOVEONLY"], levels=0:12))
> xzero
0 1 2 3 4 5 6 7 8 9 10 11 12
179 20 9 2 2 0 1 0 0 0 0 0 0
> n <- sum(xzero)
> k <- sum(table(xzero))
> meantheta1 <-((2*xzero + 1)/(2*n + k))
> vartheta1
<-((2*(((2*n)+k)-((2*xzero)+1)))*((2*xzero)+1))/((((2*n)+k)^2)*(((2*n)+k)+2))
> stderr <- sqrt(vartheta1)
> cl.l <- meantheta1-(stderr*2)#Fake CI: Test
> cl.u <- meantheta1+(stderr*2)#Fake CI: Test
> barplot2(meantheta1, xlab="WWD HARVEST DOVE ONLY 2001",
ylab="Probability", ylim=c(0, 1),xpd=F, col="blue", border="black",
axis.lty=1,plot.ci=TRUE, ci.u = cl.u, ci.l = cl.l)
> title(main="WHITE WING DOVE HARVEST PROBABILITIES: DOVE HUNT ONLY")
I would greatly appreciate any direction or assistance,
Thanks,
Bret
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 2
minor 0.1
year 2004
month 11
day 15
language R
*Note: I am working in Exmacs
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