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Data:
-1.97 -1.99 -2.02 -2.02 -1.98 -1.92 -1.97 -1.99 -1.96 -1.92 -1.92 -1.92 -2.00 -1.99 -1.95 -1.98 -2.01 -2.09 -2.06 -2.03 -2.07 -2.10 -2.09 -2.14 -2.14 -2.10 -2.09 -2.08 -2.06 -2.06 -2.06 -2.13 -2.13 -2.11 -2.14 -2.07 -1.96 -1.87 -1.85 -1.81 -1.78 -1.65 -1.67 -1.51 -1.41 -1.43 -1.55 -1.56 -1.64 -1.85 -1.91 -1.96 -2.03 -2.21 -2.21 -2.34 -2.43 -2.51 -2.39 -2.44
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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