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Data:
369.82 373.1 374.55 375.01 374.81 375.31 375.31 375.39 375.59 376.26 377.18 377.26 377.26 381.87 387.09 387.14 388.78 389.16 389.16 389.42 389.49 388.97 388.97 389.09 389.09 391.76 390.96 391.76 392.8 393.06 393.06 393.26 393.87 394.47 394.57 394.57 394.57 399.57 406.13 407.03 409.46 409.9 409.9 410.14 410.54 410.69 410.79 410.97 410.97 413.8 423.31 423.85 426.6 426.26 426.26 426.32 427.14 427.55 428.29 428.8 428.8 434.87 435.66 440.75 440.99 441.04 441.04 441.88 441.92 442.48 442.81 442.81
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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