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Data:
-0.000172382684294473 -0.000167745576204072 -0.0063296234842579 0.00085956933951914 -0.00322094876440394 0.00436141252124362 0.00325084109994405 -0.00529564386674460 0.000917764360812538 -0.000964504749464986 0.00257812128417533 0.00263113505360016 0.000184187107037577 -0.0032814118533879 -0.00319466013408304 0.00393840132836025 -0.00026383868490432 -0.00365185710909544 0.00221863176790852 0.00240937892536104 -0.00245558824882839 0.00189788347533573 0.00479205819430039 -0.00187356658045555 -0.00285487657065736 -0.00206306789819501 0.00280254273871236 -0.00483295375972754 -0.00253873105946422 0.00144382327876362 0.00404734898919821 -0.00319469232253818 -0.000862743493813684 0.00347509835827645 -0.00235164610090284 0.000310469529864133 -0.000590022757293849 0.00226797310080804 -0.00284912179686792 0.00070626433901952 -0.000633603318461463 -0.000728986400830856 -0.000796436066241358 0.00205219481973866 0.00087008729719193 0.00670467128254388 0.00335530540956793 0.00693773742620946 -0.00128069060065271 -0.00284870575964538 -0.00824060593039564 -0.00167064058227678 -0.00434164809450916 -0.00176230804012001 -0.00157899286516627 -0.00144294765530675 0.00760478565580194 -0.00236465488616082 0.00274622397441504
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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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Summary of computational transaction
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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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