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153.24 184.48 191.81 168.19 163.81 190.57 163.81 129.62 173.90 198.76 135.52 179.81 137.05 142.57 187.52 220.48 208.76 210.19 232.57 173.81 218.86 226.76 196.67 237.43 173.14 207.62 234.67 204.10 230.76 210.19 194.76 172.10 221.90 225.24 228.00 198.76 199.05 235.43 270.76 234.10 237.24 239.43 239.24 197.33 217.43 242.19 207.52 232.76 222.10 202.48 228.10 319.52 236.95 252.00 262.29 172.10 243.90 235.62 216.95 236.29
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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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