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Data:
90.75 92.82 97.78 99.32 98.33 98.66 98.13 97.8 99.36 100.37 103.22 101.68 104.39 103.99 106.71 106.06 103.5 100.17 101.1 105.93 108.09 107.27 104.9 102.7 102.06 103.05 102.08 100.13 97.56 97.38 99.66 99.58 102.7 98.92 97.85 99.01 97.71 97.95 97.24 96.69 96.41 96.99 98.36 97.8 96.79 94.73 92.67 87.15 79.54 82.35 86.38 84.75 87.54 86.73 84.74 80.75 79.28 78.52 78.54 77.33
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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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