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Data:
2 2.2 2.2 2 2.3 2.6 3.2 3.2 3.1 2.8 2.3 1.9 1.9 2 2 1.8 1.6 1.4 0.2 0.3 0.4 0.7 1 1.1 0.8 0.8 1 1.1 1 0.8 1.6 1.5 1.6 1.6 1.6 1.9 2 1.9 2 2.1 2.3 2.3 2.6 2.6 2.7 2.6 2.6 2.4 2.5 2.5 2.5 2.4 2.1 2.1 2.3 2.3 2.3 2.9 2.8 2.9 3 3 2.9 2.6 2.8 2.9 3.1 2.8 2.4 1.6 1.5 1.7
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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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