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Data:
44.13 44.13 44.14 44.14 44.14 44.14 44.15 44.17 44.19 44.26 44.27 44.29 44.29 44.29 44.29 44.32 44.33 44.34 44.34 44.34 44.37 44.47 44.51 44.51 44.51 44.52 44.7 44.84 44.9 44.91 44.94 44.94 44.95 45.28 45.34 45.34 45.34 45.36 45.44 45.62 45.75 45.77 45.77 45.77 46.09 46.25 46.28 46.29 46.29 46.29 46.3 46.34 46.34 46.35 46.42 46.52 46.59 46.66 46.67 46.72 46.72 46.72 46.76 46.89 47.02 47.02 47.04 47.18 47.22 47.8 47.88 47.91
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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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