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Data:
90.36 90.67 91.21 91.35 91.62 91.28 91.17 91.13 91.55 91.62 91.73 91.91 92.5 92.93 92.77 93.42 93.82 94.02 94.13 93.7 93.84 94.22 95.03 95.03 95.25 96.11 96.16 96.1 96.52 96.35 96.35 96.66 96.86 97.84 98.04 98.06 98.79 99.38 99.75 100.4 100.97 101.16 100.42 99.88 99.8 99.78 99.78 99.89 100.38 100.1 100.02 101.15 100.02 99.99 100.14 98.93 98.52 98.42 98.78 99.04 99.53 99.97 99.95 101.68 101.29 101.45 100.98 100.64 100.6 101.59 101.15 101.03
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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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