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Data:
105.38 105.38 108.37 112.21 112.05 112.05 112.06 112.05 111.36 111.36 111.36 111.36 111.78 111.89 111.89 111.89 112.02 112.02 112.02 112.02 112.02 112.02 112.02 111.28 111.28 111.28 111.28 110.56 110.56 110.56 110.56 110.56 111.37 109.43 109.43 109.57 109.57 109.57 109.57 109.57 109.39 111.68 111.68 111.68 111.93 111.93 111.93 111.93 111.56 111.89 111.89 111.89 110.82 110.82 110.82 110.82 110.98 110.98 111.78 111.78 111.78 111.78 112.6 112.6 112.6 112.6 112.6 113.25 113.25 113.25 113.25 113.25
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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