patchwork for combined GLMM interactions plot

phelps-sg · Dec 27, 2023 · 79b42bb · 79b42bb
1 parent 5ab1bb4
commit 79b42bb
Showing 1 changed file with 3 additions and 16 deletions.
diff --git a/jupyter-book/R-MixedModel.py b/jupyter-book/R-MixedModel.py
@@ -208,22 +208,9 @@
 # %%
 m[m[, 4] <= 0.05, ]
 
-# %%
-
 # %%
 xtable(coef(summary(model.pd))$cond, digits=3)
 
-# %%
-x <- c(0, 1, 2)
-x[-1]
-
-# %%
-r <- map(list(x), function(i) x+1)
-reduce(list(x), '+')
-
-# %%
-aes(x=x, y=predicted)
-
 # %%
 predictions.for <- function(model, participant.group) {
     ggpredict(model.pd.1, c("Partner_condition", 
@@ -324,13 +311,13 @@
 #summary(model.pd.factorial)
 
 # %%
-simulationOutput.factorial<- simulateResiduals(fittedModel = model.factorial, plot = TRUE, integerResponse=TRUE)
+#simulationOutput.factorial<- simulateResiduals(fittedModel = model.factorial, plot = TRUE, integerResponse=TRUE)
 
 # %%
-hist(residuals(simulationOutput.factorial))
+#hist(residuals(simulationOutput.factorial))
 
 # %%
-plotResiduals(simulationOutput.factorial, results.clean$Participant_group)
+#plotResiduals(simulationOutput.factorial, results.clean$Participant_group)
 
 # %% [markdown]
 # ## Bayesian MCMC GLMM