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36 35 34 32 52 51 36 26 27 27 28 30 28 29 25 28 55 53 42 32 37 41 37 38 39 32 36 39 83 83 66 53 72 77 69 72 81 71 63 66 114 116 109 97 111 120 110 106 115 110 103 112 163 166 156 140 166 176 163 162 171 167 163 168 222 216 197 178 204 220 196 195 213 218 216 225 280 272 252 230 248 259 240 237 252 250 255 255 313 291 271 247 268 283 259 259 267 270 279 269 334 326 301 276 301 313 291 287 289 298 320 312 385 380 351 322 350 363 344 345
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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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