genMultiFac: Generate multi-factorial data

In kgoldfeld/simstudy: Simulation of Study Data

Generate multi-factorial data

Description

Generate multi-factorial data

Usage

genMultiFac(
  nFactors,
  each,
  levels = 2,
  coding = "dummy",
  colNames = NULL,
  idName = "id"
)

Arguments

nFactors	Number of factors (columns) to generate.
each	Number of replications for each combination of factors. Must be specified.
levels	Vector or scalar. If a vector is specified, it must be the same length as nFatctors. Each value of the vector represents the number of levels of each corresponding factor. If a scalar is specified, each factor will have the same number of levels. The default is 2 levels for each factor.
coding	String value to specify if "dummy" or "effect" coding is used. Defaults to "dummy".
colNames	A vector of strings, with a length of nFactors. The strings represent the name for each factor.
idName	A string that specifies the id of the record. Defaults to "id".

Value

A data.table that contains the added simulated data. Each column contains an integer.

Examples

genMultiFac(nFactors = 2, each = 5)
genMultiFac(nFactors = 2, each = 4, levels = c(2, 3))
genMultiFac(
  nFactors = 3, each = 1, coding = "effect",
  colNames = c("Fac1", "Fac2", "Fac3"), id = "block"
)

kgoldfeld/simstudy documentation built on April 14, 2024, 3:13 a.m.