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Data:
-0.0309222995743958 0.0939591695294816 0.162810922970495 0.193846636579679 0.0448570216279435 -0.159089642986777 -0.147453967524033 -0.00106134607457517 -0.053907354512513 0.0368930172698727 -0.0299375157661913 -0.134534303432826 0.155988654246885 0.0175695643338714 0.0923282010529955 0.147876607269467 -0.172837645501758 0.0206688989907908 -0.323061631167734 0.0664858434581563 -0.0773607176510015 -0.0930225326150546 -0.171243809040929 -0.144046365482287 -0.0388843958156721 0.0431454689718288 0.000664215038253646 0.23856638182404 -0.210818088183159 -0.127879977469966 0.0742978276111737 -0.182037991611265 -0.234092602775158 0.195699157524962 -0.15022697062075 -0.0262043039858893 -0.0247796343005493 -0.0611531743673992 0.0438632177647745 -0.197463295579626 0.0256523488119978 0.491568648356889 -0.0021147091123768 0.112556613707790 0.0630165398755744 -0.0401513950365197 0.121356544225897 0.0357721707103546
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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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