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Data:
94.67 94.6 93.9 93.41 93.37 93.35 93.08 93.05 92.61 92.37 92.24 91.95 92.63 92.7 92.47 92.58 92.55 92.56 89.92 89.96 90.03 90.31 90.8 90.36 90.31 93.8 93.95 93.99 94.44 94.15 91.91 91.86 93.12 93.47 93.57 94.57 95.85 96.62 95.69 95.39 95.14 95.07 94.21 95.4 95.1 94.89 95.43 94.88 96.03 96.37 96.04 95.72 95.74 95.78 93.66 95.29 94.33 95.66 95.2 94.61 96.21 96.27 95.12 95.55 93.51 92.86 92.45 93.34 92.01 91.77 92.19 91.97
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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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