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Data:
9.27 9.30 9.35 9.33 9.37 9.42 9.45 9.38 9.40 9.43 9.45 9.49 9.47 9.48 9.52 9.53 9.53 9.54 9.57 9.61 9.61 9.63 9.64 9.60 9.64 9.66 9.67 9.70 9.72 9.73 9.77 9.72 9.68 9.62 9.79 9.77 9.79 9.77 9.78 9.81 9.74 9.70 9.78 9.85 9.83 9.90 9.93 9.85 9.95 9.97 10.02 9.97 9.95 9.95 9.98 10.00 10.04 10.05 10.06 10.09 10.14 10.13 10.12 10.10 10.12 10.06 10.21 10.18 10.26 10.39 10.41 10.46
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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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