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Data:
16.8 17.2 17.4 17.6 17.7 17.7 17.6 17.6 17.5 17.5 17.6 17.6 17.9 18.2 18.4 18.5 19 19.5 19.7 19.9 19.7 19.5 19.7 19.7 19.7 19.9 20.1 20.1 20.1 20.1 20.2 20.3 20.8 21.1 21.2 21.3 21.6 21.7 21.8 22 21.9 21.9 22 22.1 21 19.7 19.8 19.9 19.8 20 20.2 20.3 20.7 20.9 21 21.2 23.7 23.7 23.7 23.8 24 24 24.1 24.3 24.4 24.4 24.5 24.6 24.7 24.6 24.6 24.6 24.7 24.7 24.8 24.9 25 25.1 25.2 25.3
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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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