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100.00 99.97 101.03 101.00 101.30 101.43 101.49 102.14 102.58 102.34 102.07 101.83 102.14 102.58 102.63 102.74 103.32 103.27 102.48 102.14 102.07 101.69 101.15 100.90 101.77 101.93 102.27 102.49 102.80 102.82 102.83 102.89 102.87 102.67 102.96 103.22 103.53 104.63 104.63 104.17 103.93 104.01 104.16 105.22 105.85 106.21 105.77 105.63 106.49 107.51 110.43 111.42 111.58 111.34 111.08 111.66 112.36 112.31 111.52 110.87 111.13 112.71 113.25 113.09 112.55 112.87 113.59 115.14 116.38 116.50 116.25 116.73
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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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