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Data:
0.00203999754590597 0.0773627323677002 0.372421143612371 -0.0515177609621391 0.0700601947162624 0.301495421655644 -0.319972584668071 0.15258758096157 -0.433715525400506 -0.100246566944901 0.0539119560426101 -0.116667666602114 0.488997000484655 0.254118930888024 0.0548722067983710 -0.219322942707060 0.104449119253964 -0.127850089876485 -0.0839471761928557 -0.0993450473606438 -0.225842164119386 0.493641513156144 -0.298349956272019 0.0195113941255897 -0.352204625446148 -0.0302419657056322 -0.295253831104799 0.226459592215499 0.000936261477244581 -0.0999088428894084 -0.0861201368177648 -0.293110770282025 0.0318683917403608 0.31894119737227 0.240162895984549 -0.08385929933355 -0.632853237199351 -0.517347585379127 0.184763640928742 0.0389329382461284 0.301575235188412 -0.266085702084044 -0.137259310825954 -0.0204039432078939 0.0853801819905226 0.142742844848359 -0.0116601154169168 -0.106387281921214 0.0273908927894755 -0.0453171588623951 -0.110053859256513 0.284488702289744 0.0913036946183505 -0.307783994394605 0.691511591663423 -0.359236090142899 -0.142725672722528 -0.103691766923668 0.341858160490579 0.311245970716462 0.0540524848923138 0.0127249788232297 0.331069362862632 0.332648344155167 -0.0225649983912859 -0.195038947843270 0.0362293675965455 -0.069577313376148 0.0152645436358407 -0.379910921061455 0.00361685743192846 -0.275104817399173 0.49964695975772 0.264270166212225 -0.170722383164307 0.151028479374174 -0.0737213888984699 -0.526313539335325 -0.0155016986455107 0.195663681164338 0.208692332930012 -0.331812263134072 0.117571728891483 -0.323891314199251 0.222383835749592 -0.377045988842714 -0.0125123644301898 0.0510845082333554 -0.266691530900874 0.00599049984082347 0.375432153681187 0.923618175643263 0.284125715016621 0.115899858105988 0.137438667905655 0.353493181097252 -0.172183837906205 0.741607111873156 0.270413731141624 0.00540882423201259 -0.765422875661438 0.304733879354377 -0.176357591670319 -0.60530977936302 -0.0573191354668051 0.0260543642789634 -0.168620620001144 -0.604955099938894
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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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