## coda analysis student<-read.coda('coda-uniform.txt','index-uniform.txt') geweke.diag(student,.2,.5) HPDinterval(student) ## history plot ## plot coda coda<-read.table('/Volumes/~zzhang4/Private/zzy/research/Bayesian analysis of longitudinal data/Student t distribution/real-data-analysis/latent basis coda chain.txt') par<-matrix(c(coda[,2]),ncol=11) ## history plot par(mfrow=c(5,2), mar=c(3, 5, 1, 1) + 0.1) plot.ts(par[,1], ylab='A[2]') plot.ts(par[,2], ylab='A[3]') plot.ts(par[,3], ylab='A[4]') plot.ts(par[,9], ylab=quote(beta[L])) plot.ts(par[,10], ylab=quote(beta[S])) plot.ts(par[,4], ylab=quote(sigma[L]^2)) plot.ts(par[,5], ylab=quote(sigma[S]^2)) plot.ts(par[,6], ylab=quote(sigma[LS])) plot.ts(par[,8], ylab=quote(phi)) plot.ts(par[,11], ylab=quote(k)) normal<-read.coda('coda-norm.txt','index-norm.txt') geweke.diag(normal, .2,.5) HPDinterval(normal) id<-rep(1:7, each=38001) x<-rep(2000:40000, 7) par(mfrow=c(7,1), mar=c(3, 5, 1, 1) + 0.1) plot(x[id==6], normal[id==6], type='l', ylab=quote(beta[L]), xlab='') plot(x[id==7], normal[id==7], type='l', ylab=quote(beta[S]), xlab='') plot(x[id==1], normal[id==1], type='l', ylab=quote(sigma[L]^2), xlab='') plot(x[id==4], normal[id==4], type='l', ylab=quote(sigma[S]^2), xlab='') plot(x[id==2], normal[id==2], type='l', ylab=quote(sigma[LS]), xlab='') plot(x[id==5], normal[id==5], type='l', ylab=quote(phi), xlab='') ##################### ## Boxplots y = matrix( c( NA, 65.0, 50.0, 61.0, NA, 48.0, 44.0, 50.0, NA, 62.0, 60.0, 37.0, 42.0, 52.0, 53.0, 61.0, 85.0, 69.0, 71.0, 71.0, NA, 38.0, 72.0, 69.0, 76.0, 59.0, 79.0, 61.0, 57.0, 70.0, 52.0, 72.0, 79.0, 69.0, NA, 73.0, 79.0, 82.0, 73.0, 90.0, 41.0, 67.0, NA, NA, 70.0, 69.0, 78.0, 72.0, 70.0, 74.0, 51.0, 45.0, 50.0, 70.0, 69.0, 63.0, 72.0, 69.0, 74.0, NA, 80.0, 85.0, 89.0, 92.0, 97.0, 78.0, 81.0, 96.0, 97.0, 81.0, 74.0, 50.0, NA, 62.0, 38.0, 80.0, 65.0, 85.0, 86.0, 86.0, 63.0, 72.0, 64.0, NA, 69.0, 68.0, 86.0, 73.0, 90.0, 95.0, 82.0, 92.0, 95.0, 97.0, 98.0, 61.0, 58.0, 79.0, 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46.0, 64.0, NA, 73.0, 70.0, 61.0, 67.0, 64.0, 65.0, 58.0, 59.0, 56.0, 59.0, 75.0, 56.0, NA, 66.0, 57.0, 71.0, NA, 29.0, 44.0, 44.0, 42.0, 63.0, 49.0, 52.0, 54.0, 62.0, 59.0, 43.0, 78.0, 70.0, 90.0, 69.0, 83.0, 68.0, 76.0, 71.0, 69.0, 63.0, 65.0, 79.0, 72.0, 65.0, 55.0, 59.0, 59.0, 58.0, 59.0, 51.0, 69.0, 52.0, 60.0, 38.0, 28.0, 61.0, NA, 59.0, NA, 58.0, 56.0, 67.0, 66.0, 67.0, 54.0, 47.0, 58.0, 59.0, 58.0, NA, 40.0, 55.0, 68.0, 70.0, 46.0, 61.0, 54.0, 70.0, 73.0, 44.0, 56.0, 66.0, 54.0, 67.0, 63.0, 69.0, 66.0, 68.0, 71.0, 46.0, 54.0, 64.0, 49.0, 68.0, NA, 69.0, 78.0, 58.0, 64.0, NA, 57.0, 60.0, 74.0, 51.0, 68.0, 37.0, 51.0, 56.0, 56.0, 74.0, 64.0, 78.0, 80.0, 73.0, 70.0, 65.0, 65.0, 59.0, 66.0, 83.0, 73.0, 91.0, 93.0, 92.0, 74.0, 70.0, 53.0, 64.0, 64.0, 59.0, 56.0, 80.0, 57.0, 54.0, 72.0, NA, NA, 49.0, 50.0, 78.0, 91.0, 89.0, 87.0, 82.0, 31.0, 1.0, 47.0, 49.0, 57.0, 84.0, 77.0, 65.0, 87.0, 64.0, 63.0, 0.0, 64.0, 71.0, 73.0, 42.0, 50.0, 57.0, 57.0, 62.0, 31.0, 37.0, 57.0, 41.0, 39.0, 54.0, 71.0, 88.0, 88.0, 87.0, 54.0, NA, 53.0, 46.0, 71.0, 60.0, 62.0, 62.0, 61.0, 87.0, 81.0, 61.0, 72.0, 80.0, 88.0, 88.0, 90.0, 70.0, 92.0, 93.0, 24.0, 30.0, 27.0, 27.0, 20.0, 63.0, 58.0, 64.0, 51.0, 64.0, 79.0, 80.0, 82.0, 87.0, 86.0, 46.0, 48.0, 63.0, 68.0, 65.0, 66.0, 69.0, 76.0, 69.0, 65.0, 68.0, 69.0, 68.0, 70.0, 87.0, 59.0, 60.0, 64.0, 61.0, 72.0, 73.0, 86.0, 88.0, 90.0, NA, 69.0, 65.0, 69.0, 74.0, NA),byrow=T, ncol=5) ## library(moments) apply(y, 2, mean, na.rm=T) apply(y, 2, sd, na.rm=T) apply(y, 2, skewness, na.rm=T) apply(y, 2, kurtosis, na.rm=T) ## par(mfrow=c(3,2)) qqnorm(y[,1], main='') qqline(y[,1]) qqnorm(y[,2], main='') qqline(y[,2]) qqnorm(y[,3], main='') qqline(y[,3]) qqnorm(y[,4], main='') qqline(y[,4]) qqnorm(y[,5], main='') qqline(y[,5]) ## boxplots par(family='times') boxplot(y[,1],y[,2],y[,3],y[,4],y[,5], names=c('7','8','9','10','11'), ylab='Math Score', xlab='Grade') boxplot(rnorm(375, mean(y[,1],na.rm=T), sd(y[,1],na.rm=T)), rnorm(375, mean(y[,2],na.rm=T), sd(y[,2],na.rm=T)),rnorm(375, mean(y[,3],na.rm=T), sd(y[,3],na.rm=T)),rnorm(375, mean(y[,4],na.rm=T), sd(y[,4],na.rm=T)),rnorm(375, mean(y[,5],na.rm=T), sd(y[,5],na.rm=T)),add=T, col='red')