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Data:
105.71 105.82 105.82 105.72 105.76 105.80 105.09 105.06 105.16 105.20 105.21 105.23 105.19 105.16 104.88 104.52 104.09 104.35 104.48 104.47 104.55 104.59 104.59 104.72 104.65 104.72 104.92 105.05 103.74 103.81 103.79 104.28 103.80 103.80 104.02 104.02 104.91 104.97 103.86 104.17 103.21 103.21 101.91 101.84 101.91 101.79 101.79 101.79 102.09 102.18 102.20 101.97 102.05 102.04 101.78 101.79 101.80 101.83 101.83 101.88 101.90 101.91 101.17 101.17 101.23 101.26 101.49 101.51 101.61 101.39 101.43 101.44
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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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Big Analytics Cloud Computing Center
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