Ggenerate: Subgroup Determination

In EMSNM: EM Algorithm for Sigmoid Normal Model

Description

In data genaration, determining the subgroup of each item belonging to through random number and Sigmoid Link function.

Usage

Ggenerate(eta, X, seed = 0)

Arguments

eta	the coeffients determining subgroup
X	the covariables determining subgroup
seed	random seed

Value

the classes items belonging to, it's a vector. If X1 belongs to class 3, then the 1st row 3rd colmn is 1 and the rest of 1st row are 0.

Author(s)

Linsui Deng

Examples

#some variables
samplesize <- 1000
classsize <- 6
etasize <- 3
alphasize <- 2

#test of Ggenerate
Xtest <- data.frame(matrix(rnorm(samplesize*etasize),samplesize,etasize))
etatest <- matrix(seq(1.15,1,length=etasize*classsize),etasize,classsize)

Gtest1 <- Ggenerate(etatest,Xtest)
Gtest2 <- Ggenerate(etatest,Xtest,1)

EMSNM documentation built on May 2, 2019, 1:41 p.m.