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2002 Jun 20
2
understanding the output
...0.01 `*' 0.05 `.' 0.1 ` ' 1 (Dispersion parameter for gaussian family taken to be 9.618818) Null deviance: 247.27 on 19 degrees of freedom Residual deviance: 173.14 on 18 degrees of freedom AIC: 105.92 Number of Fisher Scoring iterations: 2 I need the mean and se to make an plotbar (I know to make a plotbar) The mean is easy to get. > tapply(peso,gen,mean) 1g 2g 4.8660 8.7164 The values is the same in estimate. But the SE, when I try using tapply the SE is different os the SE of estimates. look > tapply(peso,gen,sd)/sqrt(tapply(peso,gen,length)) 1g...