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Data:
340.7 343.5 345.3 346.9 349 351.4 353 355 360.1 364.7 366.5 369 369.9 370.8 374.5 378.4 381.3 383.5 387.6 391.7 395.4 399.3 403.3 406.6 410.5 413.5 418.7 421.7 422.8 425.8 427.6 431 434.3 437.6 440.4 443.5 446.2 446.2 449.7 454.2 458.4 461.1 464 466.2 468.7 471.8 474.9 477.5 480 482.8 485.7 488.5 492 495.1 498.5 502.2 502.1 510 515 520.4 525.2 530.1 534.5 538.5 544.4 548.4 551.9 554.9 558.1 561.3 564.4 567 568.7 570.9 572.5 574.6 577.1 580.9 583.3 586.5
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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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