## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) library(mets) ## ----------------------------------------------------------------------------- library(mets) data(twinstut) twinstut$binstut <- 1*(twinstut$stutter=="yes") twinsall <- twinstut twinstut <- subset(twinstut,zyg%in%c("mz","dz")) head(twinstut) twinstut <- subset(twinstut,tvparnr < 3000) ## ----------------------------------------------------------------------------- margbin <- glm(binstut~factor(sex)+age,data=twinstut,family=binomial()) summary(margbin) ## ----twostage1---------------------------------------------------------------- bina <- binomial_twostage(margbin,data=twinstut,var.link=1, clusters=twinstut$tvparnr,detail=0) summary(bina) ## ----twostage2---------------------------------------------------------------- # design for OR dependence theta.des <- model.matrix( ~-1+factor(zyg),data=twinstut) bin <- binomial_twostage(margbin,data=twinstut,var.link=1, clusters=twinstut$tvparnr,theta.des=theta.des) summary(bin) ## ----twostage3---------------------------------------------------------------- twinstut$cage <- scale(twinstut$age) theta.des <- model.matrix( ~-1+factor(zyg)+factor(sex),data=twinstut) bina <- binomial_twostage(margbin,data=twinstut,var.link=1, clusters=twinstut$tvparnr,theta.des=theta.des) summary(bina) ## ----------------------------------------------------------------------------- library(mets) data(twinstut) twinstut <- subset(twinstut,zyg%in%c("mz","dz")) twinstut$binstut <- 1*(twinstut$stutter=="yes") head(twinstut) twinstut <- subset(twinstut,tvparnr < 2000) ## ----biprobit1---------------------------------------------------------------- b1 <- bptwin(binstut~sex,data=twinstut,id="tvparnr",zyg="zyg",DZ="dz",type="un") summary(b1) ## ----bptwin1------------------------------------------------------------------ b1 <- bptwin(binstut~sex,data=twinstut,id="tvparnr",zyg="zyg",DZ="dz",type="ace") summary(b1) ## ----bptwin2------------------------------------------------------------------ b0 <- bptwin(binstut~sex,data=twinstut,id="tvparnr",zyg="zyg",DZ="dz",type="ae") summary(b0) ## ----addgamma1---------------------------------------------------------------- theta.des <- model.matrix( ~-1+factor(zyg),data=twinstut) margbin <- glm(binstut~sex,data=twinstut,family=binomial()) bintwin <- binomial_twostage(margbin,data=twinstut,model="gamma", clusters=twinstut$tvparnr,detail=0,theta=c(0.1)/1,var.link=1, theta.des=theta.des) summary(bintwin) # test for same dependence in MZ and DZ theta.des <- model.matrix( ~factor(zyg),data=twinstut) margbin <- glm(binstut~sex,data=twinstut,family=binomial()) bintwin <- binomial_twostage(margbin,data=twinstut,model="gamma", clusters=twinstut$tvparnr,detail=0,theta=c(0.1)/1,var.link=1, theta.des=theta.des) summary(bintwin) ## ----polygenic1--------------------------------------------------------------- out <- twin_polygen_design(twinstut,id="tvparnr",zygname="zyg",zyg="dz",type="ace") head(cbind(out$des.rv,twinstut$tvparnr),10) out$pardes ## ----polygenic2--------------------------------------------------------------- margbin <- glm(binstut~sex,data=twinstut,family=binomial()) bintwin1 <- binomial_twostage(margbin,data=twinstut, clusters=twinstut$tvparnr,detail=0,theta=c(0.1)/1,var.link=0, random.design=out$des.rv,theta.des=out$pardes) summary(bintwin1) ## ----------------------------------------------------------------------------- concordanceTwinACE(bintwin1,type="ace") ## ----polygenic_ae------------------------------------------------------------- out <- twin.polygen.design(twinstut,id="tvparnr",zygname="zyg",zyg="dz",type="ae") bintwin <- binomial_twostage(margbin,data=twinstut, clusters=twinstut$tvparnr,detail=0,theta=c(0.1)/1,var.link=0, random.design=out$des.rv,theta.des=out$pardes) summary(bintwin) ## ----------------------------------------------------------------------------- concordanceTwinACE(bintwin,type="ae") ## ----------------------------------------------------------------------------- sessionInfo()