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Data:
39.28 39.36 39.55 39.64 39.8 39.79 39.79 39.86 39.91 40 40.01 40.01 40.01 39.96 40 39.76 39.68 39.7 39.7 39.73 39.64 39.56 39.67 39.66 39.66 40.05 39.99 40.06 40.08 40.1 40.1 40.12 40.07 40.24 40.58 40.72 40.72 40.89 40.9 41.04 41.27 41.29 41.29 41.33 41.34 41.37 41.33 41.37 41.37 41.42 41.61 41.58 41.75 41.75 41.75 41.85 41.84 41.97 42.01 42.04 42.04 42.06 41.93 41.93 41.99 42.03 42.03 42.12 42.22 42.21 42.23 42.22
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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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