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Data:
4738.4 4687.2 5930.8 5532 5429.8 6107.4 5960.8 5541.8 5362.2 5237 4827 4781.6 4983.2 4718.4 5523.8 5286.6 5389 5810.4 5057.4 5604.4 5285 5215.2 4625.4 4270.4 4685.4 4233.8 5278.4 4978.8 5333.4 5451 5224 5790.2 5079.4 4705.8 4139.6 3720.8 4594 4638.8 4969.4 4764.4 5010.8 5267.8 5312.2 5723.2 4579.6 5015.2 4282.4 3834.2 4523.4 3884.2 3897.8 4845.6 4929 4955.4 5198.4 5122.2 4643.2 4789.8 3950.8 3824.4 4511.8 4262.4 4616.6 5139.6 4972.8 5222 5242 4979.8 4691.8 4821.6 4123.6 4027.4 4365.2 4333.6 4930 5053 5031.4 5342 5191.4 4852.2 4675.6 4689.2 3809.4 4054.2 4409.6 4210.2 4566.4 4907 5021.8 5215.2 4933.6 5197.8 4734.6 4681.8 4172 4037.8 4462.6 4282.6 4962.4 4969.2 5214.6 5416.8 4764.2 5326.2 4545.4 4797.2 4259 4117 4469.2 4203.2 5033.8 4883 5361.6 5044.6 5005.6 5382 4565.4 4825 4290.2 3933.6 4177.6 3949.4 4492.6 4894.2 5224.4 5071
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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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