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Data:
74.74 74.80 74.46 74.03 74.45 74.74 74.74 74.78 74.25 74.14 74.41 74.51 74.51 74.64 74.52 74.51 74.39 74.11 74.11 74.20 73.84 73.89 74.31 73.56 73.56 73.99 73.63 73.51 73.60 73.03 73.03 72.61 72.30 72.56 72.76 72.92 72.92 72.93 73.13 73.31 73.34 74.31 74.31 74.65 74.78 74.73 74.71 74.63 74.63 74.95 75.17 75.49 74.54 75.59 75.59 76.06 76.06 76.39 76.39 76.93 76.93 77.39 77.65 78.04 77.66 77.31 77.31 77.33 78.01 78.31 78.61 78.94 78.94 79.84 78.76 78.62 78.36 78.53 78.53 78.76 78.76 79.37 79.83 79.89
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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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