search for: incr2

Hi all, I'm demonstrating a block entry regression using R for my regression class. For each block, I get the R**2 and the associated F. I do this with separate regressions adding the next block in and then get the results by writing separate summary() statements for each regression. Is there a more convenient way to do this and also to get the change in R**2 and associated F test for

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 different values for these. I had a look at the formulas, and have gotten my own set of reasonable values, based on the calculations, but do I place the same values in para...

...1=3 wmode2=0 declare -i NUM=$WRR_MAX_CLASSES; while [ $NUM -ge 1 ]; do HNUM=$(printf %X $NUM) tc class change classid 8001:$HNUM dev $DEV \ wrr min1=0.5 max1=1.0 decr1=0.0000000254 \ incr1=0.00083333333 weight1=1.0 \ min2=0.1 max2=1.0 decr2=0 incr2=0 weight2=1.0 NUM=$NUM-1 done } shape $IFACE_IN dest shape $IFACE_OUT sour _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/