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Data:
98.2 98.71 98.54 98.2 96.92 99.06 99.65 99.82 99.99 100.33 99.31 101.1 101.1 100.93 100.85 100.93 99.6 101.88 101.81 102.38 102.74 102.82 101.72 103.47 102.98 102.68 102.9 103.03 101.29 103.69 103.68 104.2 104.08 104.16 103.05 104.66 104.46 104.95 105.85 106.23 104.86 107.44 108.23 108.45 109.39 110.15 109.13 110.28 110.17 109.99 109.26 109.11 107.06 109.53 108.92 109.24 109.12 109 107.23 109.49 109.04 109.02 109.23 109.46
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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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