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Data:
79.57 77.45 75.79 74.88 74.5 74.59 74.59 73.57 73.3 73.23 73 72.31 72.31 71.24 70.82 70.66 69.94 69.87 69.87 68.88 68.09 68.38 66.78 67.2 67.2 66.67 65.86 66.05 66.31 66.39 66.39 65.72 65.52 64.93 65.27 65.04 65.02 64.72 64.68 64.41 64.79 64.71 64.71 64.83 64.77 64.19 64.27 64.23 64.23 63.03 62.85 62.15 61.69 62.1 62.1 61.81 61.28 61.05 61.08 60.98 60.98 61.11 60.58 60.37 59.44 59.29 59.29 59.33 59.06 58.75 58.92 58.73 58.73 58.46 58.18 58.02 56.97 57.22 57.19 57.06 57.08 56.59 56.91 56.54
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R Code
par3 <- '0,1' par2 <- '0,9' par1 <- '0,1' 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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