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22 39 40 34 38 39 39 38 31 34 32 37 36 38 29 33 35 34 45 30 33 30 40 34 31 27 33 42 36 33 42 33 21 43 34 32 34 28 30 27 29 40 29 41 33 42 39 35 33 33 44 34 30 30 35 39 34 39 25 39 33 34 36 34 31 35 34 36 40 31 33 28 42 38 35 34 28 35 25 39 25 32 35 41 34 33 32 34 25 38 37 38 36 39 31 40 34 33 32 33 32 28 32 34 36 38 31 36 27 31 28 30 29 29 31 35 42 28 38 34 28 30 26 27 31 35 33 34 30 28 30 29 32 34 34 35 40 34 28 35 31 33 36 30 27 30 25 39 36 31 33 30 31 32 33 43 35 36 42 31 26 38 27 27 31 32 36 36 25 33 32 40 36 36 35 31 31 36 36 37 31 31 26 35 32 36 37 34 33 35 31 38 36 32 28 33 31 34 33 36 36 29 31 35 31 35 36 35 38 28 28 28 34 31 44 36 36 34 32 36 38 28 37 32 36 30 38 37 33 43 26 33 34 36 36 36 36 39 33 35 25 26 35 16 40 14 22 21 38 38 27 40 40 19 29 37 27 26 24 29 26 27 35 39 38 36 37 36 32 33 39 34 39 36 33 30 39 37 37 35 32 36 36 41 36 37 29 39 37 32 36 43 30 33 28 30 28 39 34 34 29 32 33 27 35 38 40 34 34 26 39 34 39 26 30 34 34 29 41 43 31 33 34 30 23 29 35 40 27 30 27 29 33 32 33 36 34 45 30 22 24 25 26 27 27 35 36 32 35 35 36 37 33 25 35 37 36 35 29 35 31 30 37 36 35 32 34 37 36 39 37 31 40 38 35 38 32 41 28 40 25 28 37 37 40 26 30 32 31 28 34 39 33 43 37 31 31 34 32 27 34 28 32 39 28 39 32 36 31 39 23 25 32 32 36 39 31 32 28 34 28 38 35 32 26 32 28 31 33 38 38 36 31 36 43 37 28 35 34 40 31 41 35 38 37 31
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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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Big Analytics Cloud Computing Center
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