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Data:
102.8 103.66 103.55 103.87 104.03 104.02 104.02 102.97 103.18 103.53 103.78 103.85 103.85 104.78 104.76 104.84 104.85 104.83 104.83 103.71 103.84 104.37 104.44 104.4 99.54 100.42 100.34 100.36 100.37 100.42 100.41 99.13 99.42 99.76 99.92 99.92 100.47 100.44 100.47 100.61 100.73 100.64 99.99 99.74 99.49 99.41 99.49 99.53 99.91 99.84 99.67 99.39 99.38 99.29 97.91 97.62 97.67 97.64 97.63 97.66
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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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