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Data:
-0.0108837341003631 0.272563504333506 -0.247482671063272 0.214354919029220 0.0454385347382 0.102103218517357 -0.0775891752557526 0.128763280753373 0.035047498646203 0.150247043890961 -0.118225195212111 -0.438209374959053 0.367951207321594 0.246571592262139 -0.0881890721330055 -0.0559461957114498 -0.145475689060387 -0.221807316809558 -0.0759063294494493 0.193826244959938 -0.065094302779313 -0.0131311361556875 0.224624173720156 0.0169299931773437 0.064640034206473 0.017383255030769 0.363922194948051 -0.0239484760692196 0.187975014770362 0.111044640058953 0.25424289067488 -0.276089328494640 0.168924219213632 0.190950439925184 0.138179625925874 0.115711956283236 -0.128335704889091 0.238072871909288 0.0816517252261673 0.224183860440571 -0.1966781509664 0.254117264695829 -0.0473608186247592 0.102058729326874 -0.00282231831536083 -0.192273919964059 -0.239210549964741 0.288983257209521
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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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