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Data:
18.3 15.3 18.6 18.2 16.1 13.1 16.5 16.5 14.7 12.1 15.7 15.7 14 11.7 15.2 15.6 14.3 12.5 16.6 18.1 18.5 17.6 22.6 23.9 23.2 20.6 24.2 24.5 22.9 20.4 23.9 24.1 22.3 19.5 23.3 23.4 21.8 19.8 23.3 23.2 21.2 19 23.8 24.3 23.1 21.6 22.2 17.4 15.6 14.5 20.3 16.1 14.1 15.3 17.8 19.6 17.8 15.7 18.9 18.4 20.8 19 24.5 22.6 19.6 17.5 25 22.3 20.5 19.9 23.4 22.1 20 18.9 23 20 18.6 19.2 20.3 17.8
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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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