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Data:
-1.546 1.96 0.9041 0.5292 -1.222 3.157 -0.248 2.354 -1.646 -0.7949 2.231 4.328 0.2355 -1.345 -2.769 -0.3448 -0.769 -1.516 -5.918 1.555 2.157 -0.09593 -2.092 1.105 0.8303 4.004 -0.3925 2.354 3.354 -10.12 1.73 -1.092 -1.594 -0.8426 1.105 -0.3448 -1.646 0.9041 3.458 2.904 -9.646 -3.222 0.3308 1.655 1.406 -0.8947 0.2829 2.581 0.5057 -3.895 -0.09593 -3.17 -5.144 0.3541 1.454 1.205 0.2049 -0.04375 -1.743 -2.39 0.9821 -2.345 4.454 -2.821 -3.646 1.335 -1.921 4.056 1.231 -0.6953 0.8042 2.904 -0.7951 -2.843 0.3541 0.9344 -3.594 1.058 1.354 3.354 -1.345 -1.594 -1.791 3.458 -2.642 1.804 1.157 0.9083 -1.345 3.209 0.3541 -4.646 1.458 1.361 3.354 -0.1958 -1.542 -0.3448 1.105 1.904 -2.717 -0.672 -3.546 1.254 -2.345 1.157 0.3541 0.1351 2.804 -0.6459 -1.869 -0.9208 1.354 2.608 0.9041 0.9041 0.532 0.7069 -1.222 0.3541 1.904 0.7074 2.908 -2.267 -1.642 -0.672 1.209 -1.044 0.3065 3.209 2.354 -3.642 1.004 -1.096 0.1572 1.28 5.354 -0.3925 1.707 -0.7949 -0.5417 -5.293 -1.345 2.878 0.9041 0.454 -4.241 2.956 0.6592 -0.546 1.856 1.157 0.454 -0.3448 0.07916 -2.121
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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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