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Data:
1.93 2.02 1.85 1.77 1.81 1.67 1.55 1.62 1.79 1.73 1.77 1.95 2.08 2.26 2.02 1.9 1.97 1.76 1.93 1.91 1.96 1.99 1.98 1.96 1.95 2.26 2.07 2.02 2.07 1.88 1.75 1.78 1.87 1.94 2.03 2.13 2.04 2.18 2.02 1.99 2.09 1.88 1.8 1.77 1.85 1.9 2.03 2.02 2.09 2.3 2.16 2.02 2.31 1.98 1.74 1.82 2.07 2.04 2.07 2.13 2.14 2.43 2.26 2.11 2.19 2.04 2.04 2.05 2.08 1.98 2.07 2.12 2.15 2.35 2.19 2.17 2.3 2.09 1.95 1.89 1.95 1.98 1.95 2.06
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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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