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Data:
-2.5 4.4 13.7 12.3 13.4 2.2 1.7 -7.2 -4.8 -2.9 -2.4 -2.5 -5.3 -7.1 -8 -8.9 -7.7 -1.1 4 9.6 10.9 13 14.9 20.1 10.8 11 3.8 10.8 7.6 10.2 2.2 -0.1 -1.7 -4.8 -9.9 -13.5 -18.1 -18 -15.7 -15.2 -15.1 -17.9 -14.5 -9.4 -4.2 -2.2 4.5 12.4 15.8 11.5 14.1 18.8 26.1 27.9 25.4 23.4 11.5 9.9 8.1 12.6 8.2 5.4 1 -2.9 -3.7 -7 -7.2 -11.8 -2.1 1.2 2.5 4.8 -6.6 -16 -22.7 -17.7 -18.2 -18.9 -16 -12.2 -17.1 -18.6 -17.5 -24.9
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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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