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Data:
-0.0175986496695149 4.88533001639715e-06 -0.0797142045361252 0.0380359724366437 0.00379990057404902 0.0592823368877745 -0.0401047028912839 -0.0903371585255128 0.0600435985327014 -0.0751519168673696 0.184740243449584 0.108923749072312 0.148749967789766 0.0299253269806808 -0.132723413231867 0.130073522884216 -0.0524172791064149 -0.0488662775462986 0.0210676927748520 -0.165146636794414 -0.0573375413155754 0.00334278216483919 -0.120892947016097 0.0140181973103131 -0.166333957140904 -0.204256136740815 -0.170162160910135 -0.40685370432818 0.089890889862059 0.121852449126500 0.0718684968241188 0.146330323762528 -0.254402885578116 -0.175254145082071 0.0883657966655966 0.0494861859369645 -0.179560126045166 0.0352805435009704 0.107242027471589 0.0159604480893762 0.229492599513338 -0.472622684816943 -0.0310496393734398 0.0823390463619987 -0.0459447059808648 -0.0671207054879601 0.062392997118939 0.0541581853860086 -0.000768654964170624
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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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