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Data:
3.66 3.59 3.57 3.76 3.6 3.43 3.26 3.3 3.31 3.14 3.3 3.49 3.39 3.37 3.54 3.7 3.96 4.03 4.02 4.04 3.92 3.79 3.83 3.76 3.82 4.06 4.11 4.01 4.22 4.34 4.64 4.62 4.44 4.39 4.42 4.28 4.41 4.25 4.23 4.23 4.37 4.51 4.84 4.85 4.58 4.56 4.46 4.26 3.87 4.13 4.24 4.03 3.93 4.03 4.12 3.92 3.77 3.72 3.68 3.64
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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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Big Analytics Cloud Computing Center
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