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Data:
12.23 12.25 12.33 12.37 12.38 12.41 12.41 12.41 12.43 12.44 12.46 12.46 12.46 12.47 12.55 12.58 12.6 12.62 12.62 12.66 12.7 12.76 12.79 12.81 12.86 13.03 13.09 13.15 13.17 13.18 13.18 13.19 13.19 13.19 13.25 13.24 13.3 13.35 13.35 13.35 13.36 13.37 13.38 13.39 13.4 13.4 13.44 13.44 13.44 13.47 13.52 13.58 13.65 13.66 13.68 13.68 13.77 13.78 13.79 13.79 13.82 13.86 13.94 14 14.02 14.03 14.07 14.1 14.1 14.16 14.17 14.17
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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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