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Data:
66857.2 64722.8 68489.6 71342.9 63542.5 69425.0 58927.9 61009.0 66837.0 66147.6 65982.3 65527.5 65914.6 59189.9 66211.4 66400.8 60167.7 64547.9 57706.2 58642.6 60082.1 63414.8 66044.0 57628.5 62838.8 55758.6 61004.5 66173.4 57489.0 59552.2 57061.8 55895.3 56314.7 61232.8 60014.1 57685.4 60403.1 52349.7 55693.3 65676.1 54898.8 55518.2 53779.1 52340.9 55704.4 60330.3 52837.4 55388.1 60383.4 52070.3 54077.0 62887.8 49212.8 57722.0 53936.8 46991.0 54984.2 56485.1 51277.8 53596.4 54252.5 49413.0 53213.2 58695.3 48723.5 54510.0 49454.1 46136.6 54622.5 50583.0 53224.3 53056.4
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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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