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Data:
105.95 108.55 110.81 111.54 110.38 106.67 106.45 105.44 105.37 103.72 106.57 108.54 110.36 106.64 103.45 101.36 101.9 100.86 100.37 100.16 99.5 99.52 99.2 99.35 99.37 99.85 99.76 100.07 99.77 99.93 99.16 99.4 99.81 99.67 99.37 99.49 99.28 99.33 99.19 98.11 99.12 99.06 97.41 98.45 100.33 103.18 103.06 103.48 102.8 103.92 103.9 103.96 103.62 103.83 104.09 104.07 103.22 104.01 104.01 104.24 102.93 104.73 106.48 119.5 122.45 125.29 126.56 126.38 127.95 128.23 128.7 127.86
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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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