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Data:
5.51 5.54 5.56 5.57 5.57 5.58 5.56 5.57 5.57 5.6 5.61 5.63 5.65 5.71 5.78 5.8 5.8 5.8 5.81 5.84 5.83 5.86 5.88 5.88 5.89 5.91 5.91 5.95 5.92 5.92 5.91 5.95 6.01 6.07 6.08 6.1 6.11 6.13 6.21 6.19 6.17 6.17 6.19 6.21 6.32 6.36 6.36 6.38 6.36 6.42 6.42 6.44 6.41 6.42 6.43 6.44 6.43 6.43 6.45 6.45
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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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