Wgenerate {EMSNM} | R Documentation |
Generate data satisties Sigmoid Logistic Model to check EMalgorithm.
Wgenerate(alpha, sigma = 1, eta, samplesize = 0, X, Z, seed1 = 0, seed2 = 0)
alpha |
the coeffients of the mean of each subgroup |
sigma |
the variance of Y |
eta |
the coeffients determining subgroup |
samplesize |
the size of sample you wanna generate |
X |
the covariables of the mean of each subgroup |
Z |
the covaraibles determining subgroup |
seed1 |
random seed of generating Y |
seed2 |
random seed of generating G |
X |
the covariables of the mean of each subgroup |
Z |
the covaraibles determining subgroup |
Y |
the generated respond variable |
G |
the classes items belonging to |
Linsui Deng
#some variables samplesize <- 1000 classsize <- 6 etasize <- 3 alphasize <- 2 #test of Wgenerate Xtest <- data.frame(matrix(rnorm(samplesize*etasize),samplesize,etasize)) Ztest <- matrix(rnorm(samplesize*alphasize),samplesize,alphasize) etatest <- matrix(seq(1.15,1,length=etasize*classsize),etasize,classsize) alphatest <- matrix(seq(1.15,1,length=alphasize*classsize),alphasize,classsize) Wtest <- Wgenerate(alpha=alphatest,eta=etatest,X=Xtest,Z=Ztest)