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Data:
129.99 59.99 49.99 84.99 179.99 329.99 25.99 499.99 89.99 119.99 79.99 199.99 449.99 549.99 529.99 639.99 749.99 399.99 169.99 189.99 199.99 69.99 69.99 109.99 159.99 159.99 199.99 75 349.99 439.99 309.99 379.99 349.99 169.99 239.99 229.99 69.99 99.99 29.99 39.99 21.99 499.99 29.99 29.99 49.99 49.99 55.99 59.99 79.99 139.99 159.99 169.99 229.99 249.99 309.99 499.99 65.99 89.99 89.99 449.99
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R Code
library(MASS) 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') 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$estimate[2])^2),min(x),max(x),add=T) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Parameter',1,TRUE) a<-table.element(a,'Estimated Value',1,TRUE) a<-table.element(a,'Standard Deviation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,r$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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