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Data:
15.14 15.09 15.17 15.18 15.21 15.27 15.28 15.3 15.34 15.33 15.27 15.35 15.38 15.38 15.39 15.4 15.39 15.43 15.43 15.47 15.48 15.47 15.58 15.56 15.61 15.56 15.62 15.63 15.58 15.65 15.79 15.76 15.77 15.79 15.87 15.79 15.9 15.96 16.05 16.18 16.29 16.43 16.38 16.39 16.35 16.48 16.52 16.44 16.46 16.52 16.47 16.59 16.59 16.59 16.54 16.48 16.47 16.56 16.61 16.57 16.72 16.69 16.72 16.81 16.75 16.85 16.84 16.92 17.02 17.11 17.2 17.3 17.37 17.42 17.51 17.56 17.62 17.59 17.78 17.73 17.79 17.85 17.86 17.79 17.97 17.96 18.03 18.02 18.03 18.14 18.16 18.24 18.28 18.18 18.19 18.32
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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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