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Data:
104.36 103.6 103.69 103.78 103.27 103.29 103.3 103.47 103.27 103.3 103.38 103.38 105.22 105.29 104.85 104.99 104.61 104.6 103.53 103.48 103.54 103.52 103.5 103.5 103.83 103.2 103.24 103.11 103.13 103.15 103.03 103.06 103.11 103.11 103.12 103.12 103.28 103.44 103.37 103.15 103.21 103.22 103.32 103.34 103.34 103.3 103.29 103.35 104.02 104.07 104.23 103.96 103.81 103.38 103.29 103.24 103.26 103.4 103.25 103.24 104.17 104.47 104.48 104.41 104.12 104.16 104.15 104.16 104.23 104.33 104.32 104.34
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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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