Displaying 2 results from an estimated 2 matches for "vac_inf".
2005 Apr 22
3
Anova - interpretation of the interaction term
Hi
So carrying on my use of analysis of variance to check for the effects
of two factors. It's made simpler by the fact that both my factors have
only two levels each, creating four unique groups.
I have a highly significant interaction term. In the context of the
experiment, this makes sense. I can visualise the data graphically, and
sure enough I can see that both factors have different
2010 Oct 11
0
multiple comparison correction
...sis
on each group"!
>* Before I give the example which I don't expect too many people*>* to read entirely, let me issue a little challenge, namely to*>* write tools to automate a generalized version of the procedure*>* below.*
[technical setup snipped]
>>* contrasts(dat$vac_inf) <- ginv(m)*>>* gm <- aov(y ~ vac_inf, dat)*>>* summary(gm)*>* Df Sum Sq Mean Sq F value Pr(>F)*>* vac_inf 3 12.1294 4.0431 7.348 0.04190*>* Residuals 4 2.2009 0.5502*>* *>* This doesn't tell us too much other than there are differe...