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Data:
18.49 18.07 17.8 17.88 18.12 18.68 18.8 19.64 19.56 19.3 20.07 19.82 20.29 19.36 18.74 18.87 18.87 18.91 19.31 20.06 20.72 20.42 20.58 20.58 21.18 19.87 19.83 19.48 19.49 19.4 19.89 20.44 20.07 19.75 19.54 19.07 19.55 18.01 17.5 17.41 17.47 17.6 17.64 18.3 18.27 17.99 18.04 17.62 18.22 17.67 17.73 17.99 18.15 18.41 18.36 19.52 19.96 19.6 19.48 19.13
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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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