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Data:
2.75675840647712 86.0377999064762 42.9984522539679 33.5054449351983 62.9132382279737 -16.4128806120557 -6.52270297513587 -82.2241535106955 46.5759071081666 51.7913037642593 89.9736608618232 -13.7769558605610 -0.547498629244274 43.7484112333814 107.260977054051 133.441764601343 84.4357033956076 37.8119274071482 -87.1935455457301 -118.771969577577 -226.993428652981 199.325523642462 144.404698877001 112.069029838591 111.504792874925 -18.3387880730807 51.9033275846095 92.9654085924249 4.11307164252776 -180.731575979433 242.202806283966 29.3705651270102 -74.0779181790358 -86.7691638153374 -366.352653743473 208.264095886472 125.258399413132 -292.828740889365 82.153399145297 -304.275237560671 19.7695007775624 -15.2039496812031 252.735165584425 -80.8995541445702 -271.506819998227 -428.856283523052 155.237771456622 -26.7479776990567 -642.951943053832 22.6846703389315 -83.8099608577902 243.516820340160 -67.8138203680369 -83.4728588077735 224.023836737227 154.123353862388 -44.3201964833738 6.8163473353593 172.177056551561 93.6702465237527
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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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