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Data:
51.02 51.06 50.9 51.23 51.29 51.3 51.3 51.3 51.46 51.47 51.77 51.82 51.82 51.84 51.9 51.94 52.22 52.27 52.27 52.28 52.53 52.73 52.72 52.67 52.67 52.65 52.69 52.73 52.84 52.83 52.83 52.84 52.82 53.09 53.4 53.43 53.43 53.42 53.6 53.69 54.05 54.04 54.04 54.08 54.05 54.39 54.38 54.46 54.46 54.69 54.91 55.52 56.01 56.07 56.07 56.09 56.29 56.45 56.87 56.87 56.87 56.87 56.8 56.89 57.01 57.03 57.03 57.03 57.06 57.25 57.24 57.31
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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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