Hello David and Dennis,
thank you two for your replies. You not only helped me solve my problem,
but also helper me to understand my problem better.
Here is my -now working- code:
x<-y<-seq(-4,4,len=40)
g<-function(a,b) {
dmvnorm(x=cbind(a,b),sigma=matrix(c(4,2,2,3), ncol = 2))
}
z<-o
Hello,
I try to create a persp-plot for the bivariate normal distribution.
There are a few solutions online ([1],[2]), but I did not want to
hard-code the formula like [2] did or use a kernel density estimate like
[1].
My plan was to use dmvnorm, and use outer to calculate the z-dimension
f
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