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Data:
68.906 39.556 50.669 36.432 40.891 48.428 36.222 33.425 39.401 37.967 34.801 12.657 69.116 41.519 51.321 38.529 41.547 52.073 38.401 40.898 40.439 41.888 37.898 8.771 68.184 50.530 47.221 41.756 45.633 48.138 39.486 39.341 41.117 41.629 29.722 7.054 56.676 34.870 35.117 30.169 30.936 35.699 33.228 27.733 33.666 35.429 27.438 8.170 63.410 38.040 45.389 37.353 37.024 50.957 37.994 36.454 46.080 43.373 37.395 10.963 76.058 50.179 57.452 47.568 50.050 50.856 41.992 39.284 44.521 43.832 41.153 17.100
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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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