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Data:
36.68 36.77 36.78 36.78 37 37.12 37.3 37.34 37.4 37.4 37.34 37.29 37.39 37.42 37.42 43.49 44.3 44.36 44.52 44.66 44.77 44.77 44.82 44.97 45.28 45.5 45.52 45.52 45.17 45.25 45.32 45.41 45.44 45.44 45.46 45.53 45.61 45.8 45.83 45.83 45.96 46.01 46.18 46.32 46.51 46.51 46.56 46.54 46.62 46.76 46.82 46.82 46.7 46.72 46.47 46.74 46.89 46.89 46.96 47.6 47.67 47.58 47.58 47.58 47.57 47.53 47.68 47.56 47.81 47.81 47.81 47.81 48.12 48.13 48.01
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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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