You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is it possible to use build_model with strategy_lmer when the fixed effect is a continuous rather than categorical variable? Ultimately, I would like to generate an aovtable (aovtable <- mod$get_anova()) that I can use for GSEA.
For example, I would like to use the age of the individual to predict protein intensity. I don't have a problem with the downstream analysis when I used age as a categorical variable (i.e. setting up a contrast of young vs old) with strategy_lmer, but build_model seems to break when I use the actual age in months of the individual.
Thanks!
The text was updated successfully, but these errors were encountered:
Have you tried it, and it did not work? The model fitting and the ANOVA should work. I need help understanding how you can use the ANOVA results for GSEA.
Hi,
Is it possible to use build_model with strategy_lmer when the fixed effect is a continuous rather than categorical variable? Ultimately, I would like to generate an aovtable (aovtable <- mod$get_anova()) that I can use for GSEA.
For example, I would like to use the age of the individual to predict protein intensity. I don't have a problem with the downstream analysis when I used age as a categorical variable (i.e. setting up a contrast of young vs old) with strategy_lmer, but build_model seems to break when I use the actual age in months of the individual.
Thanks!
The text was updated successfully, but these errors were encountered: