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Data:
15.58 15.66 15.73 15.74 15.77 15.78 15.8 15.81 15.82 15.88 15.85 15.89 15.92 16.02 16.1 16.13 16.21 16.25 16.27 16.21 16.21 16.24 16.32 16.32 16.36 16.48 16.54 16.58 16.56 16.55 16.58 16.53 16.6 16.46 16.48 16.48 16.49 16.54 16.67 16.72 16.79 16.86 16.84 16.86 16.96 17.01 17.02 17.04 17.04 17.39 17.54 17.57 17.58 17.56 17.63 17.67 17.71 17.75 17.82 17.86
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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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