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109.57 107.08 110.33 110.36 106.5 104.3 107.21 109.34 108.2 109.86 108.68 113.38 117.12 116.23 114.75 115.81 115.86 117.8 117.11 116.31 118.38 121.57 121.65 124.2 126.12 128.6 128.16 130.12 135.83 138.05 134.99 132.38 128.94 128.12 127.84 132.43 134.13 134.78 133.13 129.08 134.48 132.86 134.08 134.54 134.51 135.97 136.09 139.14 135.63 136.55 138.83 138.84 135.37 132.22 134.75 135.98 136.06 138.05 139.59 140.58
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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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