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Data:
-0.361846007532772 3.68863098861213 0.682519663180303 7.63067731671178 -1.52075037210644 5.70955581144987 13.1939928862509 -5.49940323517293 1.76500444649349 1.96677142422135 -5.60662922820024 -7.31646013152379 -1.08563548801227 -0.099103421317697 -9.39514313732207 -6.39447775845358 -2.02805473224696 0.903602088633067 7.57491469457003 -2.19407311445752 3.58898833702079 -1.68951274457543 -1.53671157669086 13.3598886375142 -3.65726657887787 0.613493186862468 9.24506908223031 11.0285738876639 -3.49893748343257 -6.55850163797107 5.54750744110568 16.5005808635365 -0.0867999869147866 -10.1895526735612 -1.56002146200367 3.61791774409454 -3.46228026897451 -0.839719033549138 -1.74844063591575 -5.59275453302008 -4.31083509741400 8.28778989827125 -14.0676602788114 -4.07578881412959 3.95794121224257 -2.54404876219145 24.3555160491049 11.7342693021934 3.81944484749606 -2.98176766619709 7.45551605729516 -6.39245158356992 11.7003155629076 2.36027611470617 -7.48442696186156 -2.54111530629837 -2.30507409276129 10.8550201878513 -2.11331989623902 3.4086895867965 11.2003605872847 -1.20537867882487 5.81786820725412 -2.61150202837964 -1.54008349441135 -5.42145151519334 11.6034074049369 -9.06789177079852
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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