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111.28 111.41 111.62 111.76 111.89 112.04 112.12 112.3 112.47 112.59 112.78 112.73 112.99 113.1 113.33 113.38 113.68 113.65 113.81 113.88 114.02 114.25 114.28 114.38 114.73 114.97 115.05 115.29 115.37 115.54 115.76 115.92 116.02 116.21 116.26 116.51 104.71 105.35 106.31 106.26 106.97 107.04 106.98 107.05 107.33 107.36 107.28 107.58 109.03 110.43 111.01 111.01 110.76 111.13 111.07 111.09 110.96 110.64 110.62 110.58 111.33
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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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