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Data:
2.46 2.46 2.45 2.45 2.46 2.43 2.44 2.44 2.43 2.43 2.42 2.43 2.43 2.42 2.41 2.42 2.39 2.4 2.39 2.4 2.41 2.41 2.41 2.41 2.42 2.43 2.43 2.43 2.44 2.42 2.44 2.42 2.42 2.42 2.43 2.44 2.43 2.44 2.44 2.45 2.45 2.43 2.44 2.45 2.46 2.44 2.43 2.42 2.41 2.43 2.41 2.43 2.43 2.44 2.43 2.44 2.43 2.44 2.44 2.43 2.43 2.43 2.43 2.44 2.47 2.48 2.49 2.5 2.51 2.49 2.49 2.48 2.48 2.48 2.5 2.5 2.5 2.5 2.5 2.48 2.49 2.48 2.5 2.5 2.49 2.48 2.47 2.46 2.43 2.42 2.43 2.45 2.45 2.46 2.44 2.45 2.45 2.42 2.41 2.39 2.39 2.38 2.37 2.37 2.38 2.39 2.41 2.42 2.48 2.53 2.56 2.56 2.53 2.57 2.56 2.57 2.58 2.57 2.6 2.63 2.72 2.83 2.9 2.92 2.94 2.95 2.98 3.02 3.16 3.2 3.18 3.17 3.19
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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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