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Data:
28.33 28.67 28.81 28.99 29.16 29.25 29.25 29.38 29.48 29.65 29.69 29.73 29.81 30.05 30.29 30.37 30.50 30.67 30.72 30.73 30.76 30.82 30.84 30.86 30.92 30.95 30.97 30.99 31.09 31.18 31.19 31.20 31.31 31.34 31.35 31.36 31.37 31.37 31.39 31.39 31.42 31.47 31.48 31.51 31.54 31.55 31.55 31.57 31.66 31.68 31.70 31.70 31.73 31.74 31.75 31.78 31.80 31.82 31.82 31.90
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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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