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42 53 54 52 47 56 53 57 48 49 47 53 53 53 48 55 51 55 62 46 51 43 48 47 47 47 53 57 52 48 53 45 38 51 43 52 38 47 40 46 50 54 45 58 51 46 63 53 58 48 58 44 52 47 51 56 50 50 42 59 45 46 46 58 45 55 43 53 62 47 47 46 59 57 49 50 44 53 37 54 49 49 50 58 54 52 51 49 43 55 59 57 55 46 45 55 55 50 47 55 48 46 44 43 55 58 51 56 39 45 37 48 43 43 54 51 57 38 41 48 48 47 37 36 40 48 52 47 43 42 38 50 48 37 50 50 52 43 39 49 33 54 52 45 42 31 35 59 52 50 48 48 43 57 52 55 54 50 58 43 45 55 42 37 46 47 52 47 42 49 46 54 51 51 44 51 53 53 50 54 49 42 38 51 52 49 54 50 46 53 49 51 50 37 41 48 45 45 52 50 53 43 42 46 47 52 48 56 52 44 44 36 57 46 46 55 57 54 36 49 47 41 46 47 49 48 49 55 44 57 39 44 50 49 55 55 55 57 40 61 45 38 54 28 55 28 27 28 54 54 39 49 58 26 42 54 39 38 29 39 33 39 51 47 56 54 45 53 52 47 60 43 58 53 57 38 48 51 46 49 43 45 45 59 50 49 39 51 56 46 53 55 46 50 45 47 44 48 60 51 41 50 40 39 50 48 55 48 49 48 43 44 54 39 42 45 48 39 50 57 50 45 44 47 32 34 51 51 50 46 43 46 50 42 46 51 50 54 44 32 32 32 46 28 41 49 48 48 53 60 55 54 40 39 46 60 53 49 42 51 45 44 49 47 46 38 43 40 54 64 50 41 57 42 52 53 47 54 44 51 37 41 55 56 53 45 41 47 45 43 52 48 44 61 56 41 40 45 42 35 48 32 46 50 39 55 35 52 39 55 41 37 46 47 53 49 50 45 47 51 30 53 55 38 37 46 44 39 43 57 42 44 42 54 62 42 40 49 49 51 44 42 49 56 49 46
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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') print(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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