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Data:
13.2 13.8 16.2 14.7 13.9 16.0 14.4 12.3 15.9 15.9 15.5 15.1 14.5 15.1 17.4 16.2 15.6 17.2 14.9 13.8 17.5 16.2 17.5 16.6 16.2 16.6 19.6 15.9 18.0 18.3 16.3 14.9 18.2 18.4 18.5 16.0 17.4 17.2 19.6 17.2 18.3 19.3 18.1 16.2 18.4 20.5 19.0 16.5 18.7 19.0 19.2 20.5 19.3 20.6 20.1 16.1 20.4 19.7 15.6 14.4 13.9 14.3 15.3 14.4 13.8 15.7 14.7 12.5 16.2 16.1 16 15.8 15.2
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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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