Let\'s say there\'s a 4-way interaction, with a 2x2x2 factorial design plus a continuous variable.
Factors have the default contrast coding (contr.treatment
). H
You're looking for the lsmeans
package. Check it out:
lstrends(mod, specs = c('cat1', 'cat2', 'cat3'), var = 'cont1')
cat1 cat2 cat3 cont1.trend SE df lower.CL upper.CL
a c e 0.01199024 0.08441129 984 -0.15365660 0.1776371
b c e 0.01083637 0.08374605 984 -0.15350502 0.1751778
a d e 0.03534914 0.09077290 984 -0.14278157 0.2134799
b d e -0.03568548 0.09644117 984 -0.22493948 0.1535685
a c f 0.07295093 0.08405090 984 -0.09198868 0.2378905
b c f -0.04864978 0.09458902 984 -0.23426916 0.1369696
a d f -0.04537903 0.09363128 984 -0.22911897 0.1383609
b d f -0.03506820 0.08905581 984 -0.20982934 0.1396929