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Data:
47.43 47.43 47.51 47.96 47.99 48.05 48.05 48.01 48 48.06 48.23 48.4 48.4 48.5 48.41 48.35 48.53 48.52 48.52 48.49 48.45 48.65 48.74 48.74 48.74 48.79 48.82 48.82 49.2 49.3 49.3 49.34 49.47 49.65 49.7 49.75 49.75 49.7 50.09 50.19 50.53 50.55 50.55 50.55 50.58 50.61 50.94 51.01 51.01 51.04 51.15 51.31 51.31 51.34 51.34 51.34 51.47 51.95 51.97 51.92 51.92 51.91 51.97 52.14 52.33 52.4 52.4 52.41 52.71 53.17 53.33 53.32 53.32 53.3 53.31 53.72 53.87 53.91 53.91 53.96 54.02 54.33 54.48 54.54
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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