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Data:
100.17 102.01 100.3 99.94 100.16 100.18 99.98 100.04 100.05 100.11 100.11 101.03 100.84 102.68 101.27 100.28 100.82 100.87 101.23 101.09 101.22 101.33 101.3 102.39 101.69 103.75 102.99 100.8 102.21 102.45 102.49 102.4 102.99 103.19 103.35 104.44 103.42 105.81 104.25 103.78 104.53 105.01 104.83 104.55 105.16 105.06 105.2 105.87 105.41 107.89 106.06 105.5 106.71 106.34 106.11 106.15 106.61 106.63 106.27 105.59 107.09 108.53 108.01 106.52 107.27 107.58 107.36 107.23 107.54 107.64 108.23 108.42
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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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