p value for joint probability
My terminology is probably way off. I?ll try again in plain english. I?d like to generate a scatter plot of r1 & r2 and color code each pair according to the probability of observing the pair given that the two samples (r1 & r2) are drawn from two independent normal distributions. rr<-data.frame(r1=-rnorm(1000,10,5),r2=-rnorm(1000,220,5)) with(rr,plot(r1,r2)) Best, //M
On 31. jan. 2011, at 23.13, Peter Ehlers wrote:
On 2011-01-31 12:42, moleps wrote:
Dear all, Given rr<-data.frame(r1<-rnorm(1000,10,5),r2<-rnorm(1000,220,5)) How can I add a column (rr$p) for the joint probability of each r1& r2 pair?
If you take the values in each pair to be observations from two independent Normal distributions, it's easy: The "joint probability" of those values is zero. But I suspect you mean something else by "joint probability". Can you elaborate? Peter Ehlers
I know how to add the column.. I just dont know how to compute the p value for joint probabilities given the two samples. //M
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.