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Data:
-0.37 -0.35 -0.36 -0.36 -0.18 0.14 -0.25 -1.00 -1.23 -1.06 -0.72 -0.92 -0.53 -0.67 -0.43 -0.21 -0.25 -0.37 -0.39 -0.37 -0.15 0.00 -0.21 -0.17 0.20 0.08 -0.30 -0.05 0.00 -0.14 0.16 0.09 0.12 0.00 -0.24 -0.34 -0.27 -0.56 -0.59 -0.67 -0.56 -0.63 -1.13 -1.21 -1.22 -1.35 -3.00 -19.00 -3.14 -5.50 3.13 1.14 2.20 1.91 1.00 0.88 0.63 0.57 -0.88 -1.50
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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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