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Data:
-0.0162546059377794 -0.0148298338621527 0.0429789143056512 0.0676099254775447 -0.00913062407613658 -0.0273148951016960 0.0154314265058987 -0.0550836452812792 -0.0181857545735439 0.039120282650129 0.045609695591456 -0.0257114925670081 -0.0822248655735198 0.0344670951184958 -0.0649480573005924 0.0547880946588895 -0.0298714644311193 0.114486013193493 0.0950182690016939 0.0128897761246238 0.0217338721591169 -0.0585786658314538 -0.00178464667589517 0.0975509395010088 -0.0113550087842068 -0.0883044373725658 0.0179204878624572 0.066164679052732 -0.0099207405260636 0.103607176083683 0.0369264253242576 0.00965354447922407 0.026902902179049 -0.0250603551600334 0.0246542199720085 0.168876809920545 0.112338488941952 -0.036116193707152 0.0280171003434138 -0.131412282540058 -0.0399410829453708 0.124655566251397 -0.0664914145230275 -0.0280685165725154 -0.0325932501163457 0.0760414611727969 0.0299455213065676 0.0122999790464433 -0.0296840699981808 -0.00479604036760547 0.0196873639947141 0.0273047495098025 0.163972076190680 0.0271393922548936 -0.0986837349351024 0.0367475750419005 0.059550337783431 -0.034635410814478 0.0511197750260465 0.0870247693412692 0.139123550697516 -0.0711869967705733 -0.0539550882823555 -0.120829434834710 -0.00399043356082099 -0.0384057230232389 -0.0498123979425045 -0.0102239321937341 0.0132516871224478 0.0386859479280122 0.0182281387500084 -0.0327287832111250 -0.0857238681324117 -0.0983692652186727 -0.0623788777331983 -0.0589630420706581 -0.084951519189121 0.062846014700024 0.0232288817825146 0.0352284612117494 -0.0732760380316094 0.204214186760906 0.0202510008831150 -0.131477217803103 -0.0460660250497657 0.0514761046443304 -0.0909439057760498 0.0235160893016880 -0.0780858631227644 0.00813869562935705 -0.006437489243248 -0.0388345261403087 0.0477437773767919 -0.0602013822220711 0.0188028818969097 0.0871164100684405
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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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