Wessa.net

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Data:
6.81 6.8 6.8 6.85 6.85 6.85 6.85 6.85 6.85 6.86 6.86 6.88 6.88 6.88 6.91 6.91 6.91 6.91 6.99 6.99 6.99 7.02 7.02 7.05 7.05 7.05 7.05 7.1 7.1 7.1 7.1 7.12 7.13 7.18 7.24 7.24 7.24 7.27 7.27 7.27 7.27 7.3 7.3 7.57 7.76 7.94 7.94 7.96 7.96 7.98 7.99 8 8 8.04 8.04 8.04 8.04 8.04 8.07 8.07 8.07 8.07 8.11 8.11 8.12 8.11 8.13 8.15 8.16 8.2 8.2 8.2 8.2 8.2 8.23 8.25 8.26 8.31 8.33 8.33 8.36 8.39 8.41 8.5


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highest quantile


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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')

Summary of computational transaction
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Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center