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Data:
98.68 99.21 99.36 100.72 102.27 102.62 102.97 102.88 102.9 103.01 103.02 103.73 104.18 103.73 103.78 103.61 103.84 103.86 104.14 104.05 104.01 104.49 104.83 104.78 104.95 105.28 105.28 105.91 106.81 106.39 107.02 106.92 107.01 106.79 107.41 107.13 107.54 108.48 108.5 108.27 109.42 110.09 109.98 109.99 109.54 108.85 106.76 107.56 106.24 108.85 111.11 111.85 110.68 106.96 106.74 105.73 105.66 104.01 106.86 108.84 110.66 106.93 103.74 101.64 102.17 101.13 100.64 100.43 99.77 99.79 99.47 99.63
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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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