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Data:
8.55 8.56 8.57 8.59 8.61 8.62 8.62 8.63 8.71 8.72 8.74 8.75 8.79 8.82 8.82 8.84 8.86 8.86 8.85 8.86 8.86 8.87 8.88 8.9 8.91 8.96 8.98 8.99 9 9 9 9.01 9.01 8.99 8.99 8.99 9 9 9.02 9.05 9.05 9.05 9.06 9.06 9.08 9.07 9.06 9.08 9.07 9.11 9.15 9.15 9.17 9.2 9.23 9.26 9.27 9.28 9.29 9.29 9.11 9.06 9.11 9.13 9.13 9.19 9.2 9.23 9.24 9.28 9.32 9.32 9.32 9.36 9.37 9.38 9.41 9.44 9.44 9.44 9.47 9.48 9.56 9.58 9.56 9.58 9.7 9.74 9.76 9.78 9.84 9.88 9.96 9.97 9.96 9.96
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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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