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Data:
-1.893 2.514 0.141 0.624 -1.376 3.18 -1.82 2.216 -1.784 -1.894 2.106 -0.376 3.624 1.699 -1.376 -2.894 3.624 -0.2662 -0.7844 -0.4859 -6.376 2.514 2.624 -0.7844 -1.6 1.624 0.624 2.216 0.2156 -1.858 2.29 3.514 -11.78 2.773 -0.8942 -1.376 -0.1915 1.844 -0.8942 -1.376 0.1058 -1.893 3.216 2.624 -9.674 -3.784 -0.376 0.1422 1.106 1.031 -0.5605 1.327 2.734 -0.1563 2.624 -3.56 -0.376 -3.376 -4.894 0.5141 0.5494 0.5141 -0.376 -0.2268 -2.894 -0.2662 -3.156 -0.4859 -2.376 3.624 -3.968 -3.192 1.44 -2.376 2.18 1.734 -2.156 1.106 2.216 -0.5635 -2.784 0.5141 2.216 -3.969 2.216 1.106 3.624 -1.486 -0.6692 -1.376 3.141 -1.784 2.141 1.624 1.624 -1.451 3.106 0.5141 1.216 2.624 3.844 -3.376 0.2156 -1.376 -0.7844 1.624 1.624 -2.376 -0.9677 -4.376 1.217 -2.894 1.624 0.5141 0.2156 3.514 -0.2662 -2.376 -1.266 1.624 3.624 0.2156 0.624 0.5141 0.2156 -1.376 0.624 2.327 0.624 3.549 -1.192 0.3267 -1.376 1.216 -1.376 1.031 3.141 2.808 -2.266 -0.376 -0.8578 0.141 1.844 3.031 0.6986 1.624 -0.7832 -0.376 -5.486 -1.376 2.252 0.624 -0.8942 -3.968 2.624 1.106 -1.376 0.03117 2.734 1.624 2.624 -0.1915 -0.376 0.03232 -2.266
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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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