S. Nunes wrote:
Hi all,
I am doing some explorations using a dataset with the following
structure (id, value, flag).
For instance:
a, 2.2, 1
b, 3.0, 1
c, 2.9, 0
d, 3.1, 1
...
I have plotted a standard histogram using a simple command like:
hist(data$value)
My question:
I would like to superimpose a line ([0%-100%] scale) representing the
% of values that, for each class of the histogram, have the $flag
equal to 1.
What strategy
I hope I made myself clear. Please let me know if not.
Hi Sergio,
A curly one indeed. Try this:
crit_cuts<-function(x,breaks,right=TRUE,crit_var,crit) {
ncats<-length(breaks)-1
critcount<-rep(0,ncats)
for(i in 1:ncats) {
if(right) inside<-x >= breaks[i] & x < breaks[i+1]
else inside<-x > breaks[i] & x <= breaks[i+1]
critcount[i]<-sum(crit_var[inside]==crit)
}
return(critcount)
}
x<-rnorm(30)+5
crit<-sample(0:1,30,TRUE)
histinfo<-hist(x)
critcount<-crit_cuts(x,histinfo$breaks,crit_var=crit,crit=1)
segments(histinfo$breaks[1:(length(histinfo$breaks)-1)],
critcount,histinfo$breaks[-1],critcount,lty=2,col="red")
Jim
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