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103.7 103.75 103.85 104.02 104.13 104.17 104.18 104.2 104.5 104.78 104.88 104.89 104.9 104.95 105.24 105.35 105.44 105.46 105.47 105.48 105.75 106.1 106.19 106.23 106.24 106.25 106.35 106.48 106.52 106.55 106.55 106.56 106.89 107.09 107.24 107.28 107.3 107.31 107.47 107.35 107.31 107.32 107.32 107.34 107.53 107.72 107.75 107.79 107.81 107.9 107.8 107.86 107.8 107.74 107.75 107.83 107.8 107.81 107.86 107.83
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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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