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Data:
3.65 3.66 3.69 3.7 3.7 3.71 3.71 3.71 3.72 3.72 3.73 3.74 3.78 3.78 3.79 3.79 3.8 3.81 3.83 3.84 3.88 3.91 3.96 3.96 3.97 3.98 3.99 3.99 4 4 4.02 4.02 4.02 4.03 4.03 4.03 4.04 4.04 4.05 4.05 4.05 4.05 4.06 4.06 4.06 4.06 4.07 4.07 4.08 4.08 4.08 4.09 4.09 4.09 4.09 4.1 4.1 4.11 4.11 4.12 4.12 4.12 4.12 4.12 4.15 4.15 4.15 4.15 4.16 4.16 4.16 4.2
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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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