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Data:
71.59 71.65 71.47 71.82 71.76 71.88 73.31 73.22 72.74 72.95 73.71 74.45 76.54 77.41 76.87 76.51 75.66 75.09 75.16 75 75.05 74.78 75.43 75.61 77.12 83.09 86.09 87.64 88.29 89.3 89.99 90.43 91.03 91.4 92.19 92.45 92.42 90.2 88.23 84.91 82.92 81.8 81.7 83.22 82.7 82.83 83.66 84.28 84.37 86.49 87.62 88.59 89.74 89.73 89.14 88.37 88.65 89.16 89.56 89.37 89.67 93.04 94.4 95.5 101.66 102.86 102.48 102.02 101.83 101.3 101.29 100.53 100.45 101.88 101.95 102.18 100.95 100.52 100.39 99.61 99.43 99.34 100.73 102.14 102.22 101.14 100.91 101.62 100 99.92 100.07 98.48 98.3 98.86 98.96 99.52 99.06 100.47 100.24 86.43 85.14 85.41 86.13 86.19 86.29 87.55 87.87 88.37
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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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