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Data:
0.00493230141437728 0.107678628845633 -0.0528205753233406 0.199100607082406 -0.144367730984423 0.266128654838783 0.172225906110077 0.224491244879139 -0.0348470699291920 -0.111686469164129 0.099749222622141 0.111497284666774 -0.00839447738635663 -0.00563672447314335 -0.126370656774087 -0.00253206274864999 -0.0119283780625802 0.159852751087222 0.0636514476997631 -0.152200041338903 -0.0539034689208854 -0.07844074268474 -0.0743117351630078 0.0768226887832288 0.00579521326840513 -0.214006255534506 0.238247691622851 0.0509449472997333 -0.0101884217162066 0.0443616294178435 0.0389873761426418 0.139619405285727 0.109398088418867 -0.141010565534075 0.037450542625394 -0.082281430607799 -0.148506552263898 -0.083510811324401 -0.0243974136493362 0.0336833609224408 0.176519781465256 0.0126360834319074 -0.0731455812572029 0.0552629651973458 -0.0252148558710217 0.0330607466977735 -0.00121732736080765 -0.0393173147888723 -0.178516980582396
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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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