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Data:
42.3 50.8 54.1 38.2 48.4 61.1 54.1 61.4 64.3 57.4 71.7 55.3 55.1 66.8 59.4 64.9 59.2 77.4 75.8 38.3 54 61.8 61.3 104.3 39.7 62.6 50.2 90.9 56.2 50.2 52.8 45.6 69 81.9 73.9 54.9 55.4 64.6 49.6 55.8 44.6 61.5 40.5 48.3 50.9 65.3 56.5 53.2 56.9 79.5 94 68.4 65.9 85.5 77.5 114.8 87.4 107.5 151.7 94.4 67.5 95.2 96.2 70.6 80.1 83.4 115.4 61.5 80.6 94.3 82.6 107.7 79.1 102.8 125.2 106.4 62.3 107.4 67.9 88 76.5 130.5 100.9 85.6
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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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