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100.00 98.86 96.87 103.18 104.66 103.74 103.87 98.10 98.91 109.43 104.89 88.63 97.03 93.79 97.61 98.17 96.31 97.82 87.52 85.71 89.15 90.65 92.74 80.00 84.33 93.26 115.89 105.21 94.23 106.12 94.41 101.30 98.43 107.94 102.82 92.33 97.48 88.37 92.50 81.48 92.55 98.96 77.28 91.01 81.21 88.41 96.02 91.59 86.30 86.37 105.41 76.73 93.26 95.02 84.32 93.24 89.81 111.66 103.23 103.21
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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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