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Data:
4.8849813083507E-15 4.8849813083507E-15 4.8849813083507E-15 0.0094290902888048 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -0.0094290902888465 4.8849813083507E-15 4.8849813083507E-15 0.0094290902888048 -4.6629367034257E-14 -0.0094290902888465 4.8849813083507E-15 0.0094290902888048 -0.0094290902888465 0.0094290902888048 -0.0094290902888465 4.8849813083507E-15 4.8849813083507E-15 4.8849813083507E-15 4.8849813083507E-15 4.8849813083507E-15 0.0094290902888048 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -0.0094290902888465 4.8849813083507E-15 4.8849813083507E-15 0.0021030501968049 -0.0084388686458738 0.0084388686458912 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0084388686458738 0.0084388686458912 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 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2.8421709430404E-14 2.8421709430404E-14 -0.013941244562071 -0.0086768440256879 0.0086768440257012 -0.0086768440256879 0.0086768440257012 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 -0.0086768440256879 0.0086768440257012 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 0.0086768440257012 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 1.1990408665952E-14 -0.0086768440256879 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 1.3322676295502E-15 0.0010887317352011 4.4408920985006E-15 -0.0065502417606957 0.0065502417607228 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-0.0065861928528586 -1.7763568394003E-15 -1.7763568394003E-15 0.0065861928528981
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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