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Data:
-0.0352348963249683 -0.0996886642707601 0.258351557360083 0.132707026411622 0.209190613791858 0.00765440528592697 0.364638644454261 -0.404729821174493 0.208323526616788 -0.228318339348579 0.0846424177144565 -0.108655058648595 0.00746541367547315 0.229284741496672 0.0735453904039185 -0.238534916960685 0.0362894953902089 0.163357762754455 0.141878886579970 -0.18679545624252 -0.151992074152852 -0.126522100160736 0.291127512736771 0.111350857781979 -0.375333748364419 0.0586735493662476 -0.00774453175246062 -0.201225232092894 0.0544700341223013 0.462862138244245 -0.483936137034753 0.230680122542856 -0.122800122937162 -0.00974091735299254 -0.0974876787295767 -0.0918746552479597 0.083000669337947 -0.338942397572222 -0.57777344126642 -0.239078710664643 -0.373618252683224 -0.188541466996174 0.200768061115737 0.00379888006595585 -0.155150788501183 0.0281973237494739 0.320159473131222 0.130359972235699
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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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