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Data:
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 9.96 10.02 10.08 10.09 10.12 10.14 10.17 10.22 10.25 10.25 10.26 10.34 10.33 10.3 10.33 10.33 10.37 10.44 10.45 10.45 10.44 10.43 10.4 10.43 10.47 10.52 10.55 10.5 10.44 10.47 10.5 10.54 10.55 10.53 10.54 10.54
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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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