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Data:
53 86 66 67 76 78 53 80 74 76 79 54 67 54 87 58 75 88 64 57 66 68 54 56 86 80 76 69 78 67 80 54 71 84 74 71 63 71 76 69 74 75 54 52 69 68 65 75 74 75 72 67 63 62 63 76 74 67 73 70 53 77 77 52 54 80 66 73 63 69 67 54 81 69 84 80 70 69 77 54 79 30 71 73 72 77 75 69 54 70 73 54 77 82 80 80 69 78 81 76 76 73 85 66 79 68 76 71 54 46 82 74 88 38 76 86 54 70 69 90 54 76 89 76 73 79 90 74 81 72 71 66 77 65 74 82 54 63 54 64 69 54 84 86 77 89 76 60 75 73 85 79 71 72 69 78 54 69 81 84 84 69
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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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