We had an exercise in statistics class where we did a small ANOVA analysis. We were comparing how the two levels of a factor influenced the response under different conditions (combinations of other factors). My analysis ended up as a tree where a leaf corresponded to each condition and I could see were/how my factor of interest affected the response. It was quite tedious making sense of the R outputs even in such a small case (and the 'tree' was in my mind).
What techniques are usually used to make a 'factor-level comparison' like this in a more general case with lots of factors and levels? (Intuitive graphs and conclusions) Can it be generalized to ANCOVA?