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Data:
68 55 39 32 62 33 52 62 77 76 41 48 63 30 78 19 31 66 35 42 45 21 25 44 69 54 74 80 42 61 41 46 39 63 34 51 42 31 39 20 49 53 31 39 54 49 34 46 55 42 50 13 37 25 30 28 45 35 28 41 6 45 73 17 40 64 37 25 65 100 28 35 56 29 43 59 52 50 59 27 61 28 51 35 29 48 25 44 64 32 20 28 34 31 26 58 23 21 21 33 16 20 37 35 33 27 41 40 35 28 32 22 44 27 17 12 45 37 37 108 10 68 72 143 9 55 17 37 27 37 58 66 21 19 78 35 48 27 43 30 25 69 72 23 13 61 43 22 51 67 36 21 44 45 34 36 72 39 43 25 56 80 40 73 34 72 42 61 23 74 16 66 9 41 57 48 51 53 29 29 55 54 43 51 20 79 39 61 55 30 55 22 37 2 38 27 56 25 39 33 43 57 43 23 44 54 28 36 39 16 23 40 24 29 78 57 37 27 61 27 69 34 44 21 34 39 51 34 31 13 12 51 24 19 30 81 42 22 85 27 25 22 19 14 45 45 28 51 41 31 74 24 19 51 73 24 61 23 14 54 51 62 36 59 24 26 54 39 16 36 31 31 42 39 25 31 38 31 17 22 55 62 51 30 49 16
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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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