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Data:
97 100.7 101.4 101.5 101.8 101.5 102.2 101.8 98.5 98.4 97.5 97.7 98.3 99.6 99.4 96.7 96.9 96.1 97.9 99.2 97.8 94.9 93.3 91.5 89.1 92.3 91.8 92.1 94.4 92.8 92.6 92.3 92.1 89.8 87.4 87.7 86.3 89.1 90.4 87.1 86.7 84.4 88.4 88.9 88.5 87.2 86.2 83.4 87.5 85.7 87.4 86.8 87.9 85.9 87.7 87 86.8 86.2 86.1 87.5 85.7 88.9 89.8 91.4 95.2 94.1 96.8 96.1 96.6 94.2 93.9 96.5 93.4 95 95.2 94 97 96.9 96.3 96.3 97.3 95.7 96.4 95.1 94.6 95.9 96.2 94.3 98.3 95.9 92.1 94.6 94.7 96.7 97.5 96.2 97.1 95.9 94.5 99.4 101.3 101.4 100.9 101.4 103.1 102.4 101.1 102 103.9 101.7 101.2 101.9 101.1 103.1 103.3 101.4 102.8 103 102.6 102.2
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R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') library(Hmisc) myseq <- seq(par1, par2, par3) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) bitmap(file='test1.png') plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab) grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'quantiles',header=TRUE) a<-table.element(a,'value',header=TRUE) a<-table.element(a,'standard error',header=TRUE) a<-table.row.end(a) length(hd) for (i in 1:length(hd)) { a<-table.row.start(a) a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE) a<-table.element(a,as.matrix(hd[i])[1,1]) a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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