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Data:
14.92 14.95 14.97 15.05 15.06 15.07 15.07 15.08 15.09 15.09 15.09 15.12 15.13 15.15 15.15 15.16 15.17 15.17 15.18 15.18 15.19 15.19 15.2 15.21 15.24 15.31 15.45 15.46 15.65 15.67 15.68 15.73 15.74 15.79 15.8 15.81 15.82 15.84 15.84 15.85 15.86 15.87 15.87 15.88 15.88 15.88 15.88 15.9 15.91 15.92 15.94 15.96 15.96 15.97 15.97 16 16.02 16.05 16.07 16.08 16.08 16.08 16.11 16.12 16.12 16.14 16.14 16.14 16.15 16.15 16.18 16.18 16.19 16.25
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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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