Make normally distributed vectors with specified relationships. See vignette("rnorm_multi", package = "faux") for details.
Usage
rnorm_multi(
n = 100,
vars = NULL,
mu = 0,
sd = 1,
r = 0,
varnames = NULL,
empirical = FALSE,
as.matrix = FALSE,
seed = NULL
)Arguments
- n
the number of samples required
- vars
the number of variables to return
- mu
a vector giving the means of the variables (numeric vector of length 1 or vars)
- sd
the standard deviations of the variables (numeric vector of length 1 or vars)
- r
the correlations among the variables (can be a single number, vars\*vars matrix, vars\*vars vector, or a vars\*(vars-1)/2 vector)
- varnames
optional names for the variables (string vector of length vars) defaults if r is a matrix with column names
- empirical
logical. If true, mu, sd and r specify the empirical not population mean, sd and covariance
- as.matrix
logical. If true, returns a matrix
- seed
DEPRECATED use set.seed() instead before running this function
Examples
# 4 10-item vectors each correlated r = .5
rnorm_multi(10, 4, r = 0.5)
#> X1 X2 X3 X4
#> 1 1.2118766 0.2572275 0.1571110 0.2575190
#> 2 0.2280110 -1.7824349 -0.4284778 0.3753033
#> 3 -2.8143796 -1.1818529 -2.9805132 -1.0861017
#> 4 -0.2597614 -1.0891385 -0.3931237 -0.8069949
#> 5 -0.3351507 1.5534359 -0.2864572 0.5937983
#> 6 0.8203114 1.0546222 1.4885085 -0.1421187
#> 7 -0.3444536 0.6700475 -0.2216156 0.6004805
#> 8 2.5177336 1.8905935 0.3940677 2.5061463
#> 9 0.3361325 0.3826101 -0.2626767 0.9996123
#> 10 0.9220443 1.2097444 0.8996677 1.0698033
# set r with the upper right triangle
b <- rnorm_multi(100, 3, c(0, .5, 1), 1,
r = c(0.2, -0.5, 0.5),
varnames=c("A", "B", "C"))
cor(b)
#> A B C
#> A 1.0000000 0.1870509 -0.6016125
#> B 0.1870509 1.0000000 0.4327252
#> C -0.6016125 0.4327252 1.0000000
# set r with a correlation matrix and column names from mu names
c <- rnorm_multi(
n = 100,
mu = c(A = 0, B = 0.5, C = 1),
r = c( 1, 0.2, -0.5,
0.2, 1, 0.5,
-0.5, 0.5, 1)
)
cor(c)
#> A B C
#> A 1.0000000 0.1636009 -0.4987858
#> B 0.1636009 1.0000000 0.5240712
#> C -0.4987858 0.5240712 1.0000000