rmulti: Multiple correlated distributions

In faux: Simulation for Factorial Designs

Multiple correlated distributions

Description

Multiple correlated distributions

Usage

rmulti(
  n = 100,
  dist = c(A = "norm", B = "norm"),
  params = list(),
  r = 0,
  empirical = FALSE,
  as.matrix = FALSE
)

Arguments

n	the number of samples required
dist	A named vector of the distributions of each variable
params	A list of lists of the arguments to pass to each distribution function
r	the correlations among the variables (can be a single number, vars\*vars matrix, vars\*vars vector, or a vars\*(vars-1)/2 vector)
empirical	logical. If true, params specify the sample parameters, not the population parameters
as.matrix	logical. If true, returns a matrix

Value

a tbl of vars vectors

Examples

dist <- c(A = "norm", 
          B = "pois", 
          C = "binom")
params <- list(A = list(mean = 100, sd = 10),
               B = list(lambda = 5),
               C = list(size = 10, prob = 0.5))
x <- rmulti(100, dist, params, c(0.2, 0.4, 0.6), empirical = TRUE)
get_params(x)

faux documentation built on April 20, 2023, 9:13 a.m.