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Data:
102.54 101.29 101.49 101.71 101.98 102.11 102.11 103.13 103.43 103.8 103.99 104.03 104.03 102.58 102.65 102.81 102.98 103.12 103.12 104.33 104.41 104.66 104.81 104.9 100.15 98.74 98.74 98.96 99.34 99.4 99.5 100.5 100.77 101.08 101.39 101.43 101.43 101.29 101.33 101.15 101.25 101.13 101.07 101.33 101.61 101.29 101.39 101.46 101.81 101.78 101.93 102.01 102.03 102.14 101.81 101.52 101.38 101.5 101.65 101.64
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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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