On Apr 18, 2012, at 7:52 PM, Dmitriy Lyubimov wrote:
Sorry. i forgot the lines with parameters for my multivariate normal
simulation. here's the code for data simulation i used:
===
sigm1 <- diag(c(30,50))
sigm2 <- diag(c(5,3))
mu1 <- c(10,15)
mu2 <- c(80,60)
sample <- rou
Sorry. i forgot the lines with parameters for my multivariate normal
simulation. here's the code for data simulation i used:
===
sigm1 <- diag(c(30,50))
sigm2 <- diag(c(5,3))
mu1 <- c(10,15)
mu2 <- c(80,60)
sample <- round(rbind(rmvnorm(100,mu1,sigm1),rmvnorm(100,mu2,sigm2)))
Thanks David.
let's say sample data (two-modal multivariate normal simulation, needs
mvtnorm package)
=
library(mvtnorm)
sample <- round(rbind(rmvnorm(100,mu1,sigm1),rmvnorm(100,mu2,sigm2)))
sample <- sample[! (sample[,1] <1 | sample[,2] <1 | sample[,1]> 100 |
sample[,2]>
On Apr 18, 2012, at 6:55 PM, Dmitriy Lyubimov wrote:
Hello,
I'd be very grateful for help with some ggplot2's stat_density2d
issues.
First issue is with data limits. xlim() and ylim() doesn't seem to
work; instead, estimates (and plotting) seems to be constrained to
range(x), range(y) no m
Hello,
I'd be very grateful for help with some ggplot2's stat_density2d issues.
First issue is with data limits. xlim() and ylim() doesn't seem to
work; instead, estimates (and plotting) seems to be constrained to
range(x), range(y) no matter what i do. The documentation says i can
pass in kde2d'
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