Wessa.net

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Data:
2.17 2.17 2.08 2.12 2.18 2.13 2.21 2.06 1.91 1.99 2.04 2.02 2.01 2.1 2.01 2.07 2.05 2.1 2.15 2.15 1.96 2.06 2.07 2.05 2.08 2.14 2.16 2.35 2.31 2.2 2.3 2.22 2.14 2.17 2.12 2.1 2.17 2.29 2.17 2.25 2.13 2.23 2.17 2.24 2.13 2.16 2.1 2.05 2.03 2.24 2.17 2.13 2.21 2.18 2.21 2.23 2.09 2.16 2.13 2.12 2.04 2.2 2.16 2.14 2.18 2.08 2.1 2.04 1.98 1.99 1.99 2 2.02 2.02 2.03 1.96 1.95 1.94 1.96 2 1.88 1.98 1.99 1.96


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lowest quantile


highest quantile


step size


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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
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center