I have correlated one set number with .9, .5, .0

A derives from rnorm(30,-0.5,1) B derives from rnorm(30,.5,2)

and want to make A & B correlated with .9, .5, .0.

Answer:

As an alternative, please consider the following. Let the random variables X ~ N(0,1) and Y ~ N(0,1) independently. Then the random variables X and rho X + sqrt(1 - rho^2) Y are both distributed N(0,1), but are now correlated with correlation rho. So possible R code could be

```
# Define the parameters
meanA <- -0.5
meanB <- 0.5
sdA <- 1
sdB <- 2
correlation <- 0.9
n <- 10000 # You want 30
# Generate from independent standard normals
x <- rnorm(n, 0, 1)
y <- rnorm(n, 0, 1)
# Transform
x2 <- x # could be avoided
y2 <- correlation*x + sqrt(1 - correlation^2)*y
# Fix up means and standard deviations
x3 <- meanA + sdA*x2
y3 <- meanB + sdB*y2
# Check summary statistics
mean(x3)
# [1] -0.4981958
mean(y3)
# [1] 0.4999068
sd(x3)
# [1] 1.014299
sd(y3)
# [1] 2.022377
cor(x3, y3)
# [1] 0.9002529
```

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