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Data:
91.04 91.37 91.36 91.4 91.54 91.57 91.57 91.47 91.55 91.71 91.71 92.12 93.28 94.02 94.26 94.19 94.34 94.62 94.9 96.08 96.85 96.61 96.47 96.68 96.43 96.35 96.14 95.39 95.08 94.86 94.8 95.62 96.35 96.77 96.97 96.78 97.71 98.04 98.41 100.05 100.9 100.61 100.71 100.06 100.57 101.03 100.93 100.98 100.46 101.52 101.29 101.84 102.03 101.72 102.23 102.38 102.5 101.5 101.96 101.61
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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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