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Data:
-0.166646532498191 1.45446038541130 1.24444430192058 0.546892625557094 0.092483227606145 -2.05501754615136 0.000968248628828662 0.358669943697234 -1.96248894495211 -0.760430072823699 -2.15129744720461 -2.27687543769387 0.429721920121495 0.251798319320420 0.0538261247459631 0.420389951364929 -1.15014586681924 2.33969562462212 -0.966522812333634 0.425357986510933 -0.104720863173985 1.13756910736265 -1.74841664563892 0.376320447670808 -0.453576483938847 -0.0583257566372856 0.626862560020816 1.76273423439776 -0.807266008249354 0.0336200512961656 -0.424808300981018 -0.228845362094883 0.685587835348772 -0.371904564411849 -2.78446258435140 -0.160077329447092 0.646594885985588 0.0512569903857203 -0.246501767270706 0.0423722347299893 1.86131887227694 -0.629009045704846 -0.616706418345441 -1.06533038224853 0.887005708246265 -0.181852725894869 0.0868758116841302 -0.950195127295966
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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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