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Data:
101.15 101.14 101.23 101.11 101.55 101.55 101.55 101.6 101.71 101.81 101.95 102.12 102.11 102.25 102.35 102.42 102.34 102.32 102.39 102.45 102.68 102.77 102.83 102.83 103.21 103.58 102.5 102.68 102.7 102.7 102.73 102.72 102.71 102.91 103.1 103.1 103.39 103.38 103.34 103.33 103.33 103.33 103.48 104.38 105.76 107.37 108.16 111.21 112.77 114.39 114.37 114.52 114.54 114.78 114.83 115.86 117 117.27 117.38 117.83
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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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