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Data:
14.36009776 11.30900293 12.45810893 13.50394283 7.219358341 7.381367182 15.26096233 3.165415029 11.78143911 9.277808364 14.22780485 13.3753608 9.487750499 15.21511671 10.42712012 17.84978648 15.89534882 12.55115438 11.43396085 15.53507626 14.52239325 13.89331579 9.712278591 14.12942504 12.89537363 12.1602659 13.01181689 13.29873685 7.775415068 13.28429728 15.11451039 13.74797244 16.42942616 8.584377305 16.47410685 10.83539947 14.48035784 9.817153316 5.345232896 14.39310875 12.87630593 10.76877965 10.49694082 8.443671407 8.407782836 13.94065255 6.16326461 14.43688293 17.77583855 12.2486023 11.45685566 1.153093302 17.35686844 5.224652076 5.238696901 12.60523152 17.98404039 15.30279334 16.2306506 11.17728596 17.64250157 14.43288916 9.841441509 13.10185804 12.78229154 9.841353028 12.52267132 12.85177133 13.17889823 9.459926349 13.14460233 5.679993974 13.621099 11.4493559 12.45612266 14.52255588 14.00916003 12.87917848 10.91453539 10.67710167 7.500506329 15.71511893 8.451414364 13.04281114 5.475735648 6.318561991 11.67102852 12.88262502 12.34103121 15.31887313 10.00450285 14.86835659 8.706868119 12.38401963 14.23699191 12.98177075 14.75112225 15.68212424 18.1400865 15.91867058 14.96179352 16.04078615 7.958769343 6.117022453 7.408636579 12.70501195 12.21180573 13.7541755 10.16398398 11.38027871 14.09406222 15.38882422 0.694512385 10.98992814 3.847727223 10.36537965 15.07282766 0.406821823 11.07449882 2.651799226 13.40079885 14.266541 11.1935173 9.43355457 2.298582242 11.55994194 16.70032444 14.84074833 17.38403831 15.73039586 19.36265885 11.32605381 7.851840967 13.30225262 17.89762797 9.46320715 17.41915883 9.332238773 13.4187927 11.37725913 8.702323456 14.19611665 14.3980936 7.301383906 15.72027262 14.03405468 14.75498272 17.03707132 0.498724543 10.82410397 13.99003257 0.295218143 1.833602184 0.59944272 6.512322257 8.594439161
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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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