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Data:
86.86 86.79 82.52 86.87 81.62 82.66 89.87 92.04 79.74 77.75 79.12 76.37 75.01 77.6 77.81 81.7 76.47 74.72 84.43 86.72 70.99 75.43 74.14 73.3 71.97 69.27 74.13 76.4 72.26 72.1 87.82 91.62 82.69 85.76 86.87 93.09 83.73 84.49 87.37 89.13 83.2 83.77 93.68 93.09 88.59 87.88 87.89 89.38 89.13 89.58 90.22 91.44 91.04 92.1 97.54 99.12 100 99.68 100.08 99.9 99.63 99.45 99.63 99.46 96.91 97.65 102.1 103.57 104.59 104.79 101.31 104.8
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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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