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Data:
547084.00 639842.00 770730.00 911599.00 971249.00 925102.00 906046.00 1006991.00 1013942.00 991188.00 819356.00 793778.00 601962.00 685640.00 785923.00 954888.00 1029140.00 972811.00 951330.00 1012865.00 1005502.00 987489.00 828421.00 817308.00 625827.00 683491.00 848657.00 978027.00 1019467.00 980306.00 992574.00 1080411.00 1047988.00 1023560.00 871245.00 824793.00 645999.00 736888.00 874488.00 992614.00 1107708.00 955938.00 1024122.00 1081598.00 1028158.00 1006457.00 826725.00 839116.00 591481.00 671244.00 788395.00 912291.00 987428.00 873452.00 952046.00 1037521.00 958597.00 965368.00 780741.00 814377.00 594739.00 668940.00 815882.00 928023.00 1025552.00 945840.00 1020639.00 1109899.00 1033403.00 1050530.00 840420.00 820378.00 609379.00 678402.00 889241.00 998445.00 1054502.00 1076699.00 1093802.00 1134793.00 1054084.00 1068675.00 857337.00 855380.00
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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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