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Data:
128.27 128.38 128.47 128.52 128.71 128.92 128.92 128.82 128.97 129.04 128.95 129.39 129.39 129.48 130.16 129.89 129.85 129.9 129.9 129.57 129.54 129.57 128.97 129.01 129.01 128.72 128.32 128.39 128.33 128.44 128.44 128.6 128.3 128.56 128.01 128.01 128.01 128.26 128.38 128.36 128.48 128.46 128.46 129.56 129.66 129.47 129.41 129.48 129.48 130.17 129.77 129.87 129.97 130.05 130.05 129.89 130.33 130.6 131.46 131.73
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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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