Re: [R] Bivariate Normal Distribution Plots

Try this code: # Standard deviations and correlation sig_x <- 1 sig_y <- 2 rho_xy <- 0.7 # 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("mvtnor

Re: [R] Bivariate Normal Distribution Plots

Please look at my book Statistical Analysis and Data Display https://www.springer.com/us/book/9781493921218 Figures 3.8, 3.9, 3.10 The code for these figures is available in the HH package install.packages("HH") library(HH) HHscriptnames(3) ## this gives the filename on your computer containing

Re: [R] Bivariate Normal Distribution Plots

> -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of JEFFERY > REICHMAN > # 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 > Sig

[R] Bivariate Normal Distribution Plots

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 m