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Data:
-12.35 -7.35 -19.65 -10.85 -11.65 -8.55 -21.25 -32.25 -7.85 6.65 -12.95 -24.85 -19.35 -13.75 -10.25 -10.35 -14.85 -9.45 -22.45 -38.95 -5.15 0.85 -16.75 -24.05 -16.55 -13.35 8.95 1.75 -4.65 15.45 -10.85 -17.45 14.05 15.25 12.85 6.15 -0.45 0.45 20.45 16.35 8.15 18.45 -8.35 -10.65 3.45 12.65 24.45 5.85 24.35 21.85 64.95 48.55 63.25 91.25 18.55 28.85 50.65 61.25 61.75 29.35
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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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