Thanks for the suggestion, Thierry.
Nevertheless, in this example I'm not considering "shoe" as a random,
nuisance factor with zero mean. I'm considering three specific shoe
models, and I'm interested in modelling how the output changes between
the different shoes for those grounds, given that the
Dear Helios,
I think you rather want a mixed model with shoe as random effect.
library(lme4)
lmer(Y ~ Ground + (1|Shoe)) #the effect of shoe is independent of the ground
effect
or
lmer(Y ~ Ground + (0 + Ground|Shoe)) #the effect of shoe is different per
ground.
Best regards,
Thierry
ir. Thie
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