-
-
+
+
-Partition the explained variance (BONUS)
Partition the explained variance (BONUS)
In reality, we do not know exactly how the shared variance is distributed across these three sources (IV1, IV2, shared)
Partition the explained variance (BONUS)
-
diff --git a/SSR/topics/ANOVA_independent_factorial/factorial_independent_ANOVA.qmd b/SSR/topics/ANOVA_independent_factorial/factorial_independent_ANOVA.qmd
index cd80d2d..7f7e4a8 100644
--- a/SSR/topics/ANOVA_independent_factorial/factorial_independent_ANOVA.qmd
+++ b/SSR/topics/ANOVA_independent_factorial/factorial_independent_ANOVA.qmd
@@ -420,7 +420,7 @@ polygon(c(p.range,rev(p.range)),
c(p.range*0, rev(df(p.range, df.speed.alcohol, df.error))), col = rgb(0,0,1,.6), density = 20)
```
-## Partition the explained variance (BONUS)
+## Partition the explained variance (BONUS) {.smaller}
```{r, echo=FALSE}
@@ -444,7 +444,7 @@ barplot(values, names.arg = labels, col = c("blue", "green", "orange", "red"),
# Add text labels on top of the bars showing exact values
text(x = .6:14.6*1.2, y = values, labels = round(values, 2), pos = 3)
```
-## Partition the explained variance (BONUS)
+## Partition the explained variance (BONUS) {.smaller}
```{r, echo=FALSE}
@@ -470,7 +470,7 @@ text(x = .6:14.6*1.2, y = values, labels = c(rep("?", 3), values[4]), pos = 3)
```
In reality, we do not know exactly how the shared variance is distributed across these three sources (IV1, IV2, shared)
-## Partition the explained variance (BONUS)
+## Partition the explained variance (BONUS) {.smaller}
```{r, echo=FALSE}