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Data:
13.29 13.34 13.41 13.45 13.52 13.52 13.53 13.55 13.52 13.51 13.55 13.56 13.62 13.69 13.67 13.66 13.69 13.69 13.7 13.73 13.79 13.8 13.84 13.84 13.88 13.97 14.06 14.11 14.13 14.15 14.2 14.28 14.3 14.33 14.4 14.4 14.42 14.51 14.64 14.68 14.72 14.73 14.76 14.78 14.83 14.84 14.85 14.87 14.87 14.96 15.08 15.08 15.12 15.12 15.1 15.16 15.22 15.28 15.29 15.32 15.4 15.44 15.48 15.52 15.6 15.61 15.66 15.69 15.75 15.82 15.81 15.82
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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