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Data:
220.05 220.05 220.62 221.53 221.61 221.5 221.5 221.87 222.27 220.86 221.49 221.67 221.67 221.72 221.67 220.29 220.75 219.59 219.59 219.59 219.82 221.59 220.9 221.01 221.01 219.69 221 219.82 218.04 217.97 217.97 217.53 217 217.18 217.68 217.71 217.71 218.5 218.8 218.94 220 219.89 219.89 220.08 220.16 221 222.16 221.5 221.5 221.6 221.85 223.11 222.79 222.45 222.45 222.4 223.15 224.4 224.24 223.92 212.42 212.34 212.95 213.37 214.26 214.1 213.54 213.69 211.82 212.82 212.36 212.7
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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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