[R] Bivariate Normal Distribution Plots
JEFFERY REICHMAN
reichm@nj @ending from @bcglob@l@net
Thu Apr 12 16:59:23 CEST 2018
R-Help
I am attempting to create a series of bivariate normal distributions. So using the mvtnorm library I have created the following code ...
# Standard deviations and correlation
sig_x <- 1
sig_y <- 1
rho_xy <- 0.0
# Covariance between X and Y
sig_xy <- rho_xy * sig_x *sig_y
# Covariance matrix
Sigma_xy <- matrix(c(sig_x ^ 2, sig_xy, sig_xy, sig_y ^ 2), nrow = 2, ncol = 2)
# Load the mvtnorm package
library("mvtnorm")
# Means
mu_x <- 0
mu_y <- 0
# Simulate 1000 observations
set.seed(12345) # for reproducibility
xy_vals <- rmvnorm(1000, mean = c(mu_x, mu_y), sigma = Sigma_xy)
# Have a look at the first observations
head(xy_vals)
# Create scatterplot
plot(xy_vals[, 1], xy_vals[, 2], pch = 16, cex = 2, col = "blue",
main = "Bivariate normal: rho = 0.0", xlab = "x", ylab = "y")
# Add lines
abline(h = mu_y, v = mu_x)
Problem is this results in sigma(x) = sigma(y), rho=0 and I need or what 2sigma(x)=sigma(y), rho=0 or 2sigma(y)=sigma(x), rho=0 to elongate the distribution. What I have created creates a circle. Can I do that within the mvtnorm package?
Jeff Reichman
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