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Data:
92.1 93.91 95.46 94.54 95.63 96.32 96.42 96.95 96.52 96.82 96.4 96.69 96.72 98.57 98.6 96.44 97.09 97.36 97.74 96.78 96.45 97.66 98.69 98.21 97.33 99.05 100.09 98.1 97.68 97.44 99.19 98.32 97.83 97.71 97.51 97.62 96.49 98.92 99.69 97.06 97.63 97.97 99.01 97.89 97.23 96.93 96.97 97.68 97.73 99.03 100.35 99.38 99.3 99.77 101.11 101.15 101.59 100.95 99.23 100.41
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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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