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Data:
93.91 94.27 94.55 94.66 94.78 94.91 95.2 95.48 95.56 95.75 95.91 96.16 96.32 96.58 97.08 97.22 97.49 97.62 97.83 98.12 98.29 98.47 98.64 98.67 98.82 99.17 99.38 99.53 99.54 99.76 100.02 100.22 100.55 100.94 100.99 101.07 101.19 101.94 102.25 102.49 102.58 102.74 103.01 103.19 103.44 103.62 103.74 103.82 103.96 104.7 105.13 105.26 105.44 105.73 105.83 105.97 106.13 106.49 106.74 106.82
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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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