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Data:
10.0015939149028 371.813308674732 139.113711610022 -210.030232637406 142.055012162915 -128.975367627225 -350.976465713142 157.166445743686 87.5309812924864 92.676719336301 -27.1311294380929 -44.0906392174146 -208.584185970837 378.027105589823 28.0828780363971 60.9032683309262 11.5471113491051 132.157611528015 63.729948264106 45.4826458746394 -382.790919694142 100.341267809125 192.783333439961 272.604227510628 358.637300862355 63.7637436691249 91.9381724982798 -7.15480961814398 52.4359557503299 -431.909835130252 507.393298577296 495.349929317988 5.71683862811048 83.8912763850498 -596.84139513122 373.967197637512 172.484595302248 -691.036135288197 307.396559464462 -931.94278611332 206.303780435812 -166.451922338117 626.814155836047 5.14318082015322 -764.936788593008 -602.640915213037 432.382310374056 -339.481405871305 -1617.66180193604 -37.9397369693343 174.776434676013 206.332544517659 -549.683378837201 -293.313021161138 838.126432625709 363.722217334598 263.339206725736 -29.2065157303848 481.276239674834 87.2905924881707
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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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