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Data:
2.98 2.98 2.98 3.03 3.07 3.08 3.08 3.08 3.08 3.08 3.08 3.08 3.08 3.08 3.12 3.15 3.15 3.15 3.15 3.16 3.19 3.20 3.20 3.20 3.21 3.21 3.21 3.21 3.21 3.28 3.30 3.30 3.30 3.30 3.30 3.30 3.30 3.45 3.49 3.50 3.54 3.64 3.67 3.67 3.68 3.68 3.68 3.68 3.70 3.83 3.87 3.87 3.87 3.87 3.87 3.87 3.87 3.87 3.87 3.88 3.88 3.88 3.88 3.88 3.88 3.89 3.89 3.91 3.95 3.99 3.99 3.99 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.06 4.07 4.07 4.07 4.07 4.07 4.30 4.44 4.52 4.52 4.52 4.53 4.53 4.53 4.53 4.53 4.53 4.53 4.53 4.61 4.63 4.63 4.63 4.63 4.63 4.63 4.63 4.63 4.63 4.63 4.66 4.73 4.73 4.72 4.7 4.74 4.74 4.74 4.76 4.88 4.88 4.88 4.88 4.89 4.97 4.97 4.97 4.97 4.97 4.97 4.97 4.97
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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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