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Data:
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0.09035046721961 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 0.0061958066852084 -4.3964831775156E-14 -4.3964831775156E-14 -4.3964831775156E-14 -4.3964831775156E-14 -4.3964831775156E-14 -4.3964831775156E-14 0.0049291535413558 -4.6629367034257E-14 -4.6629367034257E-14 -4.6629367034257E-14 -0.0049291535414464 -4.3964831775156E-14 -4.3964831775156E-14 0.0098341296537559 0.0054894922847373 -3.4194869158455E-14 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -0.0054894922847342 3.7303493627405E-14 0.0030534374869373 4.7073456244107E-14 -0.0030534374868529 3.7303493627405E-14 3.7303493627405E-14 3.7303493627405E-14 3.7303493627405E-14 3.7303493627405E-14 3.7303493627405E-14 0.0030534374869373 4.7073456244107E-14 4.7073456244107E-14 -0.0030534374868529 3.7303493627405E-14 0.0054894922847373 -0.0054894922847342 3.7303493627405E-14 3.7303493627405E-14 0.0054894922847373 -3.4194869158455E-14 -3.4194869158455E-14 -0.0054894922847342 3.7303493627405E-14 0.0054894922847373 -3.4194869158455E-14 -0.0054894922847342 3.7303493627405E-14 3.7303493627405E-14 -0.00061180791136239 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -0.0061013001961339 0.0061013001961432 -3.4194869158455E-14 -0.0061013001961339 0.0061013001961432 -0.0061013001961339 4.3520742565306E-14 0.0061013001961432 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -0.0061013001961339 0.0061013001961432 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 0.0061013001961432 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-3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -0.0061013001961339 0.0061013001961432 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -0.0061013001961339 0.0061013001961432 -0.0061013001961339 4.3520742565306E-14 0.0061013001961432 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -0.0061013001961339 0.0061013001961432 -3.4194869158455E-14 -0.0061013001961339 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 4.3520742565306E-14 0.0061013001961432 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -3.4194869158455E-14 -0.0073260400920341 3.9079850466806E-14 0.0091491946535389 -4.8849813083507E-14 -4.8849813083507E-14 -0.0091491946535487 3.9079850466806E-14 3.9079850466806E-14 3.9079850466806E-14 0.0091491946535389 -4.8849813083507E-14 -4.8849813083507E-14 -4.8849813083507E-14
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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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