simstudy (version 0.7.0)

addMultiFac: Add multi-factorial data

Description

Add multi-factorial data

Usage

addMultiFac(dtOld, nFactors, levels = 2, coding = "dummy", colNames = NULL)

Value

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

Arguments

dtOld

data.table that is to be modified

nFactors

Number of factors (columns) to generate.

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.

Examples

defD <- defData(varname = "x", formula = 0, variance = 1)

DT <- genData(360, defD)
DT <- addMultiFac(DT, nFactors = 3, levels = c(2, 3, 3), colNames = c("A", "B", "C"))
DT
DT[, .N, keyby = .(A, B, C)]

DT <- genData(300, defD)
DT <- addMultiFac(DT, nFactors = 3, levels = 2)
DT[, .N, keyby = .(Var1, Var2, Var3)]