Make a normal vector correlated to an existing vector

Source: R/rnorm_pre.R

rnorm_pre Produces a random normally distributed vector with the specified correlation to an existing vector

rnorm_pre(x, mu = 0, sd = 1, r = 0, empirical = FALSE)

Arguments

x

the existing vector
mu

desired mean of returned vector
sd

desired SD of returned vector
r

desired correlation between existing and returned vectors
empirical

logical. If true, mu, sd and r specify the empirical not population mean, sd and covariance

Value

vector

Examples

v1 <- rnorm(10)
v2 <- rnorm_pre(v1, 0, 1, 0.5)
cor(v1, v2)
#> [1] 0.2457445