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Data:
7.08 7.08 7.09 7.07 7.06 6.99 6.99 6.99 6.98 6.96 6.95 6.91 6.91 6.87 6.91 6.89 6.88 6.9 6.91 6.85 6.86 6.82 6.8 6.83 6.84 6.89 7.14 7.21 7.25 7.31 7.3 7.48 7.49 7.4 7.44 7.42 7.14 7.24 7.33 7.61 7.66 7.69 7.7 7.68 7.71 7.71 7.72 7.68 7.72 7.74 7.76 7.9 7.97 7.96 7.95 7.97 7.93 7.99 7.96 7.92 7.97 7.98 8 8.04 8.17 8.29 8.26 8.3 8.32 8.28 8.27 8.32 8.31 8.34 8.32 8.36 8.33 8.35 8.34 8.37 8.31 8.33 8.34 8.25 8.27 8.31 8.25 8.3 8.3 8.35 8.78 8.9 8.9 8.9 9 9.05
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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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