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Data:
22.18 22.28 22.25 22.06 22.13 22.06 22.06 22.05 22.05 22.03 22.06 22.01 22.01 21.99 22 22 21.93 21.92 21.92 21.85 21.84 21.75 21.71 21.6 21.6 21.61 21.6 21.57 21.54 21.54 21.54 21.54 21.54 21.54 21.54 21.54 21.54 21.54 21.53 21.48 21.44 21.44 21.44 21.43 21.42 21.41 21.23 21.22 21.22 21.22 21.21 21.19 21.19 21.19 21.19 21.19 21.18 21.1 20.96 20.95 20.95 20.95 20.92 20.9 20.86 20.86 20.86 20.86 20.85 20.84 20.8 20.78 20.78 20.77 20.75 20.75 20.74 20.74 20.73 20.73
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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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Summary of computational transaction
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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