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Data:
78.46 78.59 81.37 83.61 84.65 84.56 83.85 84.08 85.41 85.75 86.38 88.87 90.37 92.21 95.75 97.29 98.29 99.51 99.04 98.9 100.74 100.3 101.68 101.3 103.13 104.17 105.98 106.25 104.01 101.68 101.93 104.41 105.51 104.71 103.14 102.66 102.68 101.89 101.37 101.16 99.34 99.35 99.88 99.31 99.91 98.39 98.02 98.7 98.01 98.42 98.2 93.5 93.17 93.42 93.13 92.31 92.09 92.62 91.43 89.38
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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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