holodeck (version 0.2.2)

sim_covar: Simulate co-varying variables

Description

Adds a group of variables (columns) with a given variance and covariance to a data frame or tibble

Usage

sim_covar(.data = NULL, n_obs = NULL, n_vars, var, cov, name = NA, seed = NA)

Value

a tibble

Arguments

.data

An optional dataframe. If a dataframe is supplied, simulated categorical data will be added to the dataframe. Either `.data` or `n_obs` must be supplied.

n_obs

Total number of observations/rows to simulate if `.data` is not supplied.

n_vars

Number of variables to simulate.

var

Variance used to construct variance-covariance matrix.

cov

Covariance used to construct variance-covariance matrix.

name

An optional name to be appended to the column names in the output.

seed

An optional seed for random number generation. If `NA` (default) a random seed will be used.

See Also

sim_cat, sim_discr

Other multivariate normal functions: sim_cat(), sim_discr()

Examples

library(dplyr)
sim_cat(n_obs = 30, n_groups = 3) %>%
sim_covar(n_vars = 5, var = 1, cov = 0.5, name = "correlated")