updates to linear model chapters

psych252 · Feb 7, 2024 · 1f19198 · 1f19198
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diff --git a/12-linear_model3.Rmd b/12-linear_model3.Rmd
@@ -280,6 +280,7 @@ df.a = fit_a %>%
 pre = 1 - df.a$sse/df.c$sse
 print(pre %>% round(2))
 ```
+
 Note that this is the same as the $R^2$ for the augmented model: 
 
 ```{r}
@@ -315,6 +316,7 @@ fit.tmp %>%
   summary()
 
 ```
+
 Here, I've directly put the dummy-coded variables as predictors into the `lm()`. We get the same model as if we used the `hand` variable instead. 
 
 ### Follow up questions
@@ -860,6 +862,7 @@ df.poker %>%
             variance_residual = variance_total - variance_skill - variance_hand - 
               variance_hand_skill)
 ```
+
 ## Additional resources
 
 ### Datacamp

diff --git a/13-linear_model4.Rmd b/13-linear_model4.Rmd
@@ -71,6 +71,7 @@ lm(formula = balance ~ hand + skill,
          data = df.poker.unbalanced) %>% 
   anova()
 ```
+
 We should compute an ANOVA with type 3 sums of squares, and set the contrast to sum contrasts. I like to use the `joint_tests()` function from the "emmeans" package for doing so. It does both of these things for us. 
 
 ```{r}

diff --git a/docs/404.html b/docs/404.html
@@ -23,7 +23,7 @@
 <meta name="author" content="Tobias Gerstenberg" />
 
 
-<meta name="date" content="2024-02-01" />
+<meta name="date" content="2024-02-07" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />

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@@ Expand Up / @@ -71,6 +71,7 @@ lm(formula = balance ~ hand + skill, @@
              data = df.poker.unbalanced) %>%
       anova()
     ```
     We should compute an ANOVA with type 3 sums of squares, and set the contrast to sum contrasts. I like to use the `joint_tests()` function from the "emmeans" package for doing so. It does both of these things for us.
     ```{r}
@@ Expand Down @@