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Data:
96.16 96.4 96.87 97 97.26 97.42 97.64 97.93 98.1 98.29 98.42 98.49 98.67 99.1 99.37 99.54 99.58 99.77 100.06 100.26 100.57 100.94 101.03 101.12 101.26 101.94 102.26 102.51 102.61 102.76 103.04 103.22 103.47 103.64 103.76 103.85 103.98 104.68 105.07 105.19 105.39 105.66 105.76 105.89 106.04 106.37 106.57 106.67 107.08 107.64 108.47 108.7 108.82 108.99 109.18 109.31 109.5 109.7 109.9 110.09
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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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