mu1 <- 0
mu2 <- 5
s <- 1
x <- seq(-2.5, 7.5, length = 41)
y <- seq(-2.5, 2.5, length = 41)
f <- function(x,y){
term1 <- 1/(2*pi*sqrt(s*s))
term2 <- -1/2
term3 <- (x - mu1)^2/s
term4 <- (y - mu1)^2/s
term5 <- (x - mu2)^2/s
term1*(.5 * exp(term2*(term3 + term4)) + .5 * exp(term2*(term5 + term4)))
} # setting up the function of the multivariate normal density
z <- outer(x, y, f)
# persp(x, y, z)
require(grDevices)
pdf('twoGaussian.pdf')
filled.contour(x, y, z, axes = F, frame.plot = F, asp = 1,
    col = palette(gray(seq(0, 0.9, len = 500))), nlevels = 500)
dev.off()