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Data:
97.51 96.65 95.91 95.86 95.7 95.57 95.57 95.57 94.87 95.07 95.13 95.48 95.38 95.38 95.48 95.77 94.78 92.51 92.17 91.75 90.43 90.55 90.37 90.4 90.41 90.41 90.41 89.77 89.77 89.77 89.37 89.81 89.07 89.84 89.73 90.02 88.39 90.13 90.13 90.37 89.73 89.73 89.73 89.73 89.6 89.63 86.42 86.8 86.51 86.41 86.39 86.62 85.85 87.36 87.28 87.35 87.35 87.35 87.38 88.17 88.37 87.44 87.44 87.47 87.47 87.48 87.11 87.11 86.26 86.28 86.28 86.28
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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