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Data:
0.000746099568952258 0.0292111461738571 -0.00280267596084322 -0.00184368563002967 0.0107457257770334 -0.0175566443253344 0.0131165820445929 -0.0324353168918367 0.0224382020922924 -0.0196217959970839 0.00495492412026389 0.00168574453846993 -0.00506586405101019 -0.0116484658020629 -0.00266112877646428 0.0179412217929573 -0.0168120805195169 -0.0147697069296257 0.035665172596409 0.00293868331101443 -0.0145835439671676 0.0184871974956284 -0.00672423964360273 -0.00834464807562108 0.0169769773776811 0.0141585136611232 0.00520840412118636 -0.0225065086691335 0.0221256937859677 0.008638135296458 0.0259853418092942 -0.014962664383958 0.0336773377780083 -0.00849413990510539 -0.0229882773676451 0.0569000711376357 0.025309869239244 -0.029512999542613 -0.00750220761300227 0.00584857420117411 0.061296189365771 -0.0463306298649301 0.0380278085379684 -0.00825029078426785 0.0306190401585776 -0.04367173164859 -0.0556117529677963 -0.0645860417354424 -0.111874591444632 0.0165546744538422 0.0221480269493989 -0.0314854358112557 0.000731004014562505 0.038079969509555 0.0370058066179545 0.0559163673005735 0.00562659064346704 0.0194175429404750 -0.00318505854805297
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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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R Server
Big Analytics Cloud Computing Center
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