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Data:
-0.385868851153837 4.81234262686034 -5.86804122114596 16.0725680225492 -8.57525163788969 5.08247518971098 0.092732021505415 3.83298655010795 5.81986266263392 37.1247698411582 -0.456916305824569 -3.62813490741323 -3.87648507892191 4.61958462101272 -12.967748044016 3.19886759717217 -5.74783565702396 -0.568909646003526 -7.15658094463292 -18.0497313555278 15.6314099338156 -18.6819481453537 -0.704909311621681 2.59171945848611 2.56763423323193 0.363060127151921 32.5587282582796 8.52568321864334 1.42269516052334 3.53469472344553 0.904411865388995 -1.1005444418027 13.3248076718110 -33.5907843348750 -0.845486516554237 42.0892768528428 -6.25360506437205 -11.0785340316643 -29.2902232669615 -11.1727173982373 13.9239510644368 13.5369579913798 -16.4941540115674 -9.38355957013267 -2.83541693438183 -2.88173330956316 6.18397479401454 3.71189006095175 3.17508248559435 -4.18249526402528 13.6042900329871 4.81933405297545 10.0482983006261 9.69015652302726 -13.6259654676286 2.81390485024080 2.39082408194279 9.1175078099302 14.2141474796521 3.49385172983141 5.51425675339953 -6.1504957612917 2.72297593670155 -11.1163190852539 -4.69675096946234 1.81576665288666 -10.4353591925503 6.036622781552
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R Code
library(MASS) par1 <- as.numeric(par1) if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2) x <- as.ts(x) #otherwise the fitdistr function does not work properly r <- fitdistr(x,'normal') r bitmap(file='test1.png') myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F) curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$estimate[1]) a<-table.element(a,r$sd[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,r$estimate[2]) a<-table.element(a,r$sd[2]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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R Server
Big Analytics Cloud Computing Center
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