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Data:
-15.7 4.2 6.1 -7 -8.7 -10.5 -8.6 7.1 -2.7 -8.2 5.8 -18.2 -8.8 8.5 4.7 -1.7 -4 -11 -9.7 -0.9 -2.8 -7.5 8.3 -24.7 -9.9 7.6 0.3 3.2 -3.3 -6.6 -4.9 9.9 -4.9 4.3 9 -20.2 -5.1 9.2 10.9 7.3 -3.6 0.4 -0.3 13.2 0.5 3.7 11.6 -13.1 -1.4 6.9 16.8 7.7 -5.6 5.1 7.2 4.2 11.7 3.5 10.3 -9.9
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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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