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72.50 59.40 85.70 88.20 62.80 87.00 79.20 112.00 79.20 132.10 40.10 69.00 59.40 73.80 57.40 81.10 46.60 41.40 71.20 67.90 72.00 145.50 39.70 51.90 73.70 70.90 60.80 61.00 54.50 39.10 66.60 58.50 59.80 80.90 37.30 44.60 48.70 54.00 49.50 61.60 35.00 35.70 51.30 49.00 41.50 72.50 42.10 44.10 45.10 50.30 40.90 47.20 36.90 40.90 38.30 46.30 28.40 78.40 36.80 50.70 42.80
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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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