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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