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Data:
-55.139920353398 1515.67920804922 1394.25615790479 381.593530198649 -27.5503979233106 -1938.83669131956 -5.05498201590516 184.112704423090 -1780.27933234850 -614.051259647875 -1945.68860350698 -2245.55875288474 421.811445509495 232.941548378578 -29.6014911639480 420.168775117666 -1044.63165184096 2295.00395694463 -900.80971785523 388.914884616713 -99.268148785418 1089.78488106843 -1738.55648925579 375.960303874421 -262.813380174456 -22.6811700061577 479.979027222169 1579.31707173605 -684.155039127141 31.49980167685 -397.841600693893 -255.245143439185 614.469631687756 -305.387964439411 -2569.09766604328 -174.935702726318 750.651139878503 79.0004567087877 -370.862008895167 -1.67967742787891 1681.38634129716 -540.424507276176 -499.442251220194 -902.980879771695 825.568003523662 -233.741794273804 -27.2363426471055 -858.650281220354
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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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