20260511 - R-squared values

Author: isaactpetersen

hlm.qmd

@@ -221,6 +221,8 @@ print(effectsize::standardize_parameters(
   linearMixedModel,
   method = "refit"),
   digits = 2)
+
+performance::r2(linearMixedModel)
 ```
 
 ##### Prototypical Growth Curve
@@ -350,6 +352,17 @@ print(effectsize::standardize_parameters(
   linearMixedModel_nlme,
   method = "refit"),
   digits = 2)
+
+performance::r2(linearMixedModel_nlme)
+```
+
+#### R-Squared {#sec-rSquared}
+
+The marginal $R^2$ is the proportion of variance in the outcome variable that is accounted for by the fixed effects in the model, whereas the conditional $R^2$ is the proportion of variance in the outcome variable that is accounted for by the fixed and random effects in the model.
+
+```{r}
+performance::r2(linearMixedModel)
+performance::r2(linearMixedModel_nlme)
 ```
 
 #### Intraclass Correlation Coefficent {#sec-icc}
@@ -377,6 +390,8 @@ print(effectsize::standardize_parameters(
   timepointSpecificErrorsMixedModel,
   method = "refit"),
   digits = 2)
+
+performance::r2(timepointSpecificErrorsMixedModel)
 ```
 
 ### Quadratic Growth Curve Model {#sec-quadraticGCM}
@@ -413,6 +428,8 @@ print(effectsize::standardize_parameters(
   quadraticGCM,
   method = "refit"),
   digits = 2)
+
+performance::r2(quadraticGCM)
 ```
 
 This is equivalent to:
@@ -431,6 +448,8 @@ print(effectsize::standardize_parameters(
   quadraticGCM,
   method = "refit"),
   digits = 2)
+
+performance::r2(quadraticGCM)
 ```
 
 #### Prototypical Growth Curve
@@ -578,6 +597,8 @@ print(effectsize::standardize_parameters(
   splineGCM,
   method = "refit"),
   digits = 2)
+
+performance::r2(splineGCM)
 ```
 
 #### Prototypical Growth Curve
@@ -712,6 +733,8 @@ print(effectsize::standardize_parameters(
   acceleratedLongitudinalMixedModel_linear,
   method = "refit"),
   digits = 2)
+
+performance::r2(acceleratedLongitudinalMixedModel_linear)
 ```
 
 ##### Prototypical Growth Curve
@@ -824,6 +847,8 @@ print(effectsize::standardize_parameters(
   acceleratedLongitudinalMixedModel_quadratic,
   method = "refit"),
   digits = 2)
+
+performance::r2(acceleratedLongitudinalMixedModel_quadratic)
 ```
 
 ##### Prototypical Growth Curve
@@ -949,6 +974,8 @@ print(effectsize::standardize_parameters(
   generalizedLinearMixedModel,
   method = "refit"),
   digits = 2)
+
+performance::r2(generalizedLinearMixedModel)
 ```
 
 ## `MASS`
@@ -1014,6 +1041,8 @@ print(effectsize::standardize_parameters(
   gamModel,
   method = "refit"),
   digits = 2)
+
+performance::r2(gamModel)
 ```
 
 ### Prototypical Growth Curve