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Data:
-95.16510753 -93.65973118 -92.64304598 -92.78378049 -93.85548193 -94.38205882 -94.58383721 -93.535 -93.16182927 -92.93253086 -91.54512658 -95.63034884 -94.81545977 -92.88442529 -92.935 -92.72309524 -93.80558824 -94.18327586 -94.16028736 -92.53732558 -93.25264706 -92.28921687 -91.3725 -94.93012195 -93.45104938 -91.52512346 -90.985 -91.63373418 -92.15272152 -92.5725 -92.5725 -90.81094937 -91.96 -91.1375974 -89.41555556 -93.335 -91.55691781 -89.12071429 -88.59214286 -89.40642857 -91.19333333 -90.69390411 -89.87584507 -88.91147059 -87.656875 -86.93172131 -87.51961538 -93.41032468 -92.59575949 -90.38833333 -89.25673913 -89.97742424 -92.06833333 -93.72201299 -94.085 -92.6475 -93.52720779 -92.29664384 -91.85662162 -95.56216049
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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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