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Data:
93.61 93.17 91.60 90.30 90.88 91.06 92.05 95.29 96.44 96.49 96.52 96.09 99.16 98.09 99.41 99.87 100.06 99.65 99.92 98.44 102.64 112.33 115.63 118.29 121.43 129.96 147.73 154.10 150.09 144.14 141.54 136.68 129.32 118.99 109.61 106.22 104.97 102.45 101.91 101.77 102.67 103.45 101.41 102.45 102.17 101.40 101.68 100.61 97.93 98.30 99.79 101.62 101.55 102.43 102.09 102.01 102.26 101.24 100.91 100.67 100.33 99.99 99.23 98.17 97.38 96.70 98.65 100.68 101.07 101.12 101.13 99.88 99.20 99.91 103.62 108.05 113.96 117.39 126.04 139.67 145.04 142.37 137.72 132.46
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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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Big Analytics Cloud Computing Center
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