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Data:
16.8 16.91 16.91 17.16 17.02 17.23 17.22 17.29 17.3 17.22 17.19 17.23 17.36 17.39 17.29 17.28 17.4 17.51 17.54 17.64 17.65 17.5 17.37 17.56 17.49 17.61 17.79 17.83 17.56 17.95 18.09 18.38 18.38 18.44 18.84 19.01 19.06 19.06 18.97 18.98 19.41 19.55 19.64 19.71 19.48 19.48 19.41 19.25 19.14 19.21 19.3 19.53 19.14 19.16 19.24 19.38 19.27 19.27 19.07 19.15 19.24 19.36 19.57 19.59 19.36 19.46 19.65 19.46 19.51 19.64 19.64 19.69 19.28 19.67 19.65 19.6 19.53 19.64 19.67 19.81 19.73 19.87 19.97 20.12 19.94 20.31 20.13 20.22 20.38 20.44 20.34 20.14 19.97 19.82 19.98 20.12
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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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