Note to self (and in case anyone else has got tripped up not realising), #marginaleffects, #emmeans etc. functions tend to keep the dataset in the object attributes when you assign them to an object. That's caught me recently for big targets simulations with large population datasets...
#statstab #341 ANOVA and Post-Hoc Contrasts
Thoughts: A nice step-by-step tutorial on using different anova functions in R and emmeans for contrasts.
#anova #emmeans #r #guide #tutorial
cran.r-project.org/web/packages...
#statstab #323 Counterfactuals and G-Computation
Thoughts: Even {emmeans} can do funky stuff for observational studies, if that is your fancy.
#gcomputation #counterfactuals #observational #R #emmeans #design
cran.r-project.org/web/packages...
#statstab #317 Tests for Pairwise Mean Differences in R
by @timmastny.bsky.social
Thoughts: A nice illustration of what {emmeans} is doing when computing contrasts using various functions.
#emmeans #r #pairwise #ttest #tutorial #dataviz
timmastny.com/blog/tests-p...
Really like the Notes on emmeans::eff_size(). It basically says "this might not be doing what you think. there are lots of decision you need to make. it's easy to get unexpected results. it's all your fault if you do" 😕
(also it's the emm version of d, not raw data d)
#emmeans
#statstab #213 Marginal means and Average predictions
Thoughts: Do you prefer Estimated Marginal Means or Average Predictions? Care to report an Average Counterfactual Adjusted Prediction or an AME? Here are some options:
#r #emmeans #marginaleffects
marginaleffects.com/bonus/altern...
#statstab #162 Post-hoc Contrasts by {rcompanion}
Thoughts: A good tutorial should always be shared. This goes step-by-step and provides options. Including plots.
#stats #emmeans #posthoc #ttest #nhst #r #dataviz #models
rcompanion.org/rcompanion/h...
ZOMG - Posthoc contrasts posteriors with #emmeans, #tidybayes, and #brms - gist.github.com/jebyrnes/d1bdea4ad4c8736... #rstats
