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Data:
-0.5887739973 -0.1388334259 -0.3317862227 0.1715829625 -0.2721114708 -0.0471965377 0.4158706013 0.696303247 0.5162038247 0.10122761 0.9773072225 1.095651467 0.4868233446 0.5782972654 -0.1315122524 -0.1661624254 0.7541452363 -0.4250936913 -1.015962589 0.5639438217 1.188486973 0.7680012528 1.004103064 -1.00037121 -0.6223665179 -0.003027265139 0.4105882688 -1.103793226 -0.8022402646 0.04942211232 0.112763966 -0.8588983641 0.9937288287 0.5563029822 -2.317746406 -0.04632414907 0.3687646122 0.9964378787 0.1973933527 -0.8055650594 1.583499757 1.810410014 -0.3030319789 0.7836063465 -0.4356016061 -0.3761705335 -0.7566793331 1.22909336 -0.4784458775 -0.420024782 0.5948386116 -0.7361953085 1.175862779 0.7818115776 -1.512186729 0.5923581303 0.5955703824 -0.156620335 -0.4723241802 -0.2528401567 0.642195872 -1.449435765 -1.310392537 -0.9461415059 -0.9741708598 0.6312350822 -0.5714752144 -0.2938257289 0.9698034408 1.634763807 0.3984401227 0.9501031094 -0.5152561059 0.9209154541 -0.2188031346 2.377495478 0.2519898799 -2.241885366 1.224579739 0.3290109695 1.116392839 0.5310879217 -0.6101996559 -0.5935530152 0.1884896482 0.05787969261 1.108357432 1.094443065 0.5560497473 1.016244309 0.1482722199 1.491559767 0.6049984981 0.479412267 0.589698726 1.150733141 0.9497151291 0.5612322912 0.8099091243 1.029103443 0.9727050032 1.17068736 1.077654361 0.5472194613 -1.026352037 -0.1242133494 -0.2431011461 0.7576175191 -0.07217886731 -0.123167785 -0.8800683916 -0.3772243596 -1.146103395 1.089060432 0.7698511113 1.402442742 -2.208885685 -0.6653414969 -0.3275741647 1.150342306 0.3858299344 0.6441562435 -1.202670501 0.3202520598 0.08743783224 -0.33280726 0.3687513926 0.4814576906 -0.04633116815 1.192657619 -0.2746180224 -0.856417742 0.06526296068 -0.2217918833 -1.210227043 0.6907897696 -0.4499825408 -0.5108398153 0.1470728289 0.4253649193 0.2162094979 -0.2532445336 -1.266863092 0.7206666908 -0.2046057712 -1.714197199 2.132013234 -0.7165422646 0.7945774106 0.2216946189
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R Code
library(MASS) library(car) 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$estimate[2])^2),min(x),max(x),add=T) dev.off() bitmap(file='test3.png') qqPlot(x,dist='norm',main='QQ plot (Normal) with confidence intervals') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$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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