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Data:
85.74 86.62 86.66 87.39 87.59 88.8 88.64 89.55 89.04 88.49 89.5 89.46 90.33 90.27 91.5 92.53 93.14 93.01 92.84 92.88 93.05 93.17 93.67 94.9 95.72 96.08 97.52 98.26 98.48 98.09 98.03 98.14 98.71 98.69 98.72 98.47 99.49 99.84 100.9 101.31 100.09 99.28 99.57 101.04 101.87 101.39 100.3 99.95 99.87 100.51 100.27 100.04 99.23 99.32 99.95 100.23 101.02 99.83 99.61 100.12 99.83 100.03 100.07 100.46 100.43 100.68 101.8 101.21 100.63 100.55 99.76 98.8
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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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