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Data:
23.15 23.18 23.32 23.37 23.43 23.65 23.76 23.81 23.85 23.83 23.85 23.71 23.74 23.87 24.13 24.23 24.27 24.41 24.39 24.34 24.31 24.34 24.41 24.39 24.54 24.9 25.63 26.7 27.12 27.68 27.84 27.84 27.77 27.8 27.82 27.72 27.87 27.83 28.07 28.05 28.15 28.3 28.41 28.43 28.43 28.29 28.19 27.53 27.92 27.98 27.92 27.89 27.95 28.02 27.97 27.81 27.78 27.56 27.52 27.18
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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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