similar to: Change in R**2 for block entry regression

Hi all: I have a quesion about ANOVA: Is SS(Sum of Square) of a specific factor constant with the number of factors changing? dat1 includes one factor g1,and g1's SS is called SS_g1_dat1. dat2 includes two factors g1,g2,and g1's SS is called SS_g1_dat2. My quesion is: Is SS_g1_dat1 equals to SS_g1_dat2? I have both "yes" and "no" reasons for the quesion,but

I'm interested in restricting the pairwise comparisons of interaction effects in a multi-way factorial ANOVA, because I find comparisons of interactions between all different variables different to interpret. For example (supposing a p<0.10 cutoff just to be able to use this example): > summary(fm1 <- aov(breaks ~ wool*tension, data = warpbreaks)) Df Sum Sq Mean Sq F

Could anyone explain what is WRR param2 [wmode2 , incr2 , decr2 , min2] for ? can i set just the param1 ? [wmode1 , incr1 , decr1,min1] -- []''s Salatiel "O maior prazer do inteligente é bancar o idiota diante de um idiota que banca o inteligente".

Guys Oppologies for the cross post. I''ve been scouring the docs coming with the wrr patches and for the life of me I can''t figure out why there are 8 parameters for each class. <snip> weight1, min1, decr1, incr1, weight2, min2, decr2, incr2 </snip> According to the docs these parameters are handled the same way, but looking at the example scripts there are

I have set up wrr successfully on my bridge/shaper machine. That much works fine. I originally used sfq in the inner classes. However, there was a problem with high-bandwidth connections (web downloads, bittorrent) starving low-bandwidth low-latency connections like ssh. I would like to use prio or similar to prioritize the interactive traffic, but it does not seem to work. I have tested with