output
Season X is taken as the reference category. So the output
"factor(season)y 10.59739" means the feed_intake is higher by 10.59
units in Season Y _compared to_ Season X.
Change your levels in season. E.g.
season <- factor(season, levels=c("Z", "X", "Y")
which means that Z will be taken as the reference category. Also read
help(contrasts).
Regards, Adai
Ashta wrote:
Hi all, I am trying to interparete the result of the following output from lm; fit1 =lm(Feed _Intake ~ weight + season + weight*season) Season has three classes(x,y,z) Reults are Estimate (Intercept) 21.51559 weight 2.13051 factor(season)y 10.59739 factor(season)z 1.30421 weight:factor(season)y 10.1 weight:factor(season)z 21.70288 My question are what is the estimate of season x? Could it be possible to change the output in the following way? factor(season)x factor(season)y weight:factor(season)x weight:factor(season)y Thanks in adavance
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