sim_continuous2: Simulate continuous variables

In lebebr01/simglm: Simulate Models Based on the Generalized Linear Model

Simulate continuous variables

Description

Function that simulates continuous variables. Any distribution function in R is supported.

Usage

sim_continuous2(
  n,
  dist = "rnorm",
  var_level = 1,
  variance = NULL,
  ther_sim = FALSE,
  ther_val = NULL,
  ceiling = NULL,
  floor = NULL,
  ...
)

Arguments

n	A list of sample sizes.
dist	A distribution function. This argument takes a quoted R distribution function (e.g. 'rnorm'). Default is 'rnorm'.
var_level	The level the variable should be simulated at. This can either be 1, 2, or 3 specifying a level 1, level 2, or level 3 variable respectively.
variance	The variance for random effect simulation.
ther_sim	A TRUE/FALSE flag indicating whether the error simulation function should be simulated, that is should the mean and standard deviation used for standardization be simulated.
ther_val	A vector of 2 that should include the theoretical mean and standard deviation of the generating function.
ceiling	A numeric value that specifies the ceiling (maximum) of an attribute being generated. Defaults to NULL meaning no ceiling effect. If a value is specified, any data larger than integer is rounded to that ceiling value.
floor	A numeric value that specifies the floor (minimum) of an attribute being generated. Defaults to NULL meaning no floor effect. If a value is specified, any data larger than integer is rounded to that floor value.
...	Additional parameters to pass to the dist_fun argument.

lebebr01/simglm documentation built on April 8, 2024, 9:03 p.m.