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Data:
-0.350799688370536 -0.140769858461987 -0.176994002962568 0.562290817956577 0.144201690134944 -0.111030533067628 -0.243045038133344 -0.151508019282699 -0.396513842133135 0.0329753101728757 -0.0833088349918484 0.156956311022783 0.523621600794454 -0.216145977751341 -0.208014642793551 -0.341520041804527 -0.114593780635957 -0.558823753124076 0.155427432046773 0.138052779163656 -0.4090756185683 0.110316654295769 -0.250998024914370 0.329481615878391 0.346878506478169 0.323299830417798 -0.0310312875854553 -0.84926656008146 -0.77680329705359 0.250909338924582 0.0831309127438593 0.435693250316565 -0.130263895758751 -0.232129238451711 0.165342569504054 0.142248180166828 -0.280455237088636 0.155402490351535 -0.142784384867873 0.28524670566859 0.157418555269204 -0.172706911536110 -0.0149928813013760 0.306296873369522 -0.345207720981392 0.722409122191829 -0.158636568880998 -0.431031704131918 -0.308095207623409 0.447320732827413 0.447799821943335 0.0214235496574372 0.152471875346584 0.163942423990300 -0.00498382593447193 0.308356992481182 -0.230794586105762 -0.0542129596699259 -0.137751473869932 0.137775171895457 -0.208611181469940 0.530877388565287 -0.307691326359942 0.287643632777539 0.239698181689028 -0.0324235808931527 -0.110760321621385 0.187857496084540 -0.629717422499043 -0.464897710438974 0.381446921054368 0.388355710424064 -0.59380461268784 0.456215309938507 -0.35419239371042 0.278101258603134 -0.32386448817015 -0.115433965509661 -0.0483653154188056 -0.0424966476262035 -0.179962353470623 0.634520247547924 1.07894182435992 0.395987866990447 -0.219758520860607 0.361998505460662 0.660014172078838 -0.331005583090054 0.695781527796754 0.646124350414131 -0.0835481139905882 -0.763493350940545 0.0627068862169823 -0.0788278540379063 -1.01076620067800 -0.208872220642831 -0.515267639977992 0.319253920126987 -0.739240050461461 -0.0632470686715278 -0.182648154761123 -0.242076757818195 -0.704413262583499 0.851791451893186 -0.183365626294880
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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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