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Data:
18.33 18.22 18.21 18.06 18.26 18.21 18.05 18.25 18.27 18.28 18.13 18.01 18.02 17.97 18.06 18.08 18.23 18.06 18.23 18.17 18.27 18.33 18.18 18.29 18.33 18.31 18.44 18.63 18.37 18.59 18.72 18.75 18.87 18.83 18.89 18.78 19.27 19.19 19.43 19.36 19.39 19.07 19.31 19.19 19.06 19.05 19.49 19.25 19.76 20.35 19.61 19.33 18.95 18.97 19.28 19.41 18.99 19.37 19.63 19.53 19.86 20.13 19.47 19.49 18.95 19.33 19.65 19.44 19.73 18.89 19.56 19.56
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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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