SimData: Simulate Data

In DiscreteGapStatistic: An Extension of the Gap Statistic for Ordinal/Categorical Data

Simulate Data

Description

A function to simulate data based on a multinomial vector parameter vector or a list of parameter vectors.

Usage

SimData(N, nQ, pi)

Arguments

N	Integer. Number of observations.
nQ	Integer. Number of questions.
pi	Numeric vector. Vector of probabilities adding up to 1; it is recommended that names of elements are character strings. Alternatively, pi can be list of vectors as previously described with length equal to 'nQ'. Notice that the list elements need not have same vector names. The order of pi vectors in the list will be reflected in the resulting simulated matrix. This alternative ideally assumes that questions are independently distributed.

Value

N x nQ matrix with simulated categories distributed according to vector pi

Examples

Pix <- setNames(c(0.1, 0.2, 0.3, 0.4, 0), paste0('a', 1:5))
X <- SimData(N=10, nQ=5, Pix)
head(X)

Piy <- setNames(c(0.3, 0.2, 0.4, 0, 0.1), paste0('a', 1:5))
Y <- SimData(N=10, nQ=3, Piy)
head(Y)

PiZ <- list(x1 = Pix, x2 = Pix, y1 = Piy, y2 = Piy)
Z <- SimData(N=10, nQ=length(PiZ), PiZ)

DiscreteGapStatistic documentation built on April 3, 2025, 9:22 p.m.