updated practice slide for estimating models

jhelvy · Jun 13, 2023 · f34476a · f34476a
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diff --git a/parts/designing-surveys/index.Rmd b/parts/designing-surveys/index.Rmd
@@ -702,9 +702,9 @@ class: inverse
 
 # Your turn
 
-- Download the practice zip file for this section.
-- Open the `designing-surveys.Rproj` file to open RStudio.
-- In RStudio, open the `practice.R` file.
+- Be sure to have downloaded and unzipped the [practice code](https://jhelvy.github.io/2023-qux-conf-conjoint/practice/2023-qux-conf-conjoint.zip).
+- Open the `2023-qux-conf-conjoint.Rproj` file to open RStudio.
+- In RStudio, open the `designing-surveys.R` file.
 - Experiment with different design options, then examine the power:
     - What if you modify the quesitons per respondent?
     - What if you use a labeled design? 

diff --git a/parts/estimating-models/estimating-models.pdf b/parts/estimating-models/estimating-models.pdf
diff --git a/parts/estimating-models/index.Rmd b/parts/estimating-models/index.Rmd
@@ -892,9 +892,9 @@ class: inverse
 
 # Your turn
 
-- Download the practice zip file for this section.
-- Open the `estimating-models.Rproj` file to open RStudio.
-- In RStudio, open the `practice.R` file.
+- Be sure to have downloaded and unzipped the [practice code](https://jhelvy.github.io/2023-qux-conf-conjoint/practice/2023-qux-conf-conjoint.zip).
+- Open the `2023-qux-conf-conjoint.Rproj` file to open RStudio.
+- In RStudio, open the `estimating-models.R` file.
 - Experiment with estimating different models (use either one of the example datasets included in the package, or simulate your own data!)
 
 ---

diff --git a/parts/estimating-models/index.html b/parts/estimating-models/index.html
@@ -269,9 +269,9 @@
 
 ```
 #&gt;              Estimate Std. Error  z-value  Pr(&gt;|z|)    
-#&gt; brandhiland  -8.01982    0.46038 -17.4199 &lt; 2.2e-16 ***
-#&gt; brandyoplait  3.72173    0.15923  23.3728 &lt; 2.2e-16 ***
-#&gt; branddannon   1.65734    0.16748   9.8959 &lt; 2.2e-16 ***
+#&gt; brandhiland  -8.01982    0.45951 -17.4529 &lt; 2.2e-16 ***
+#&gt; brandyoplait  3.72173    0.15882  23.4330 &lt; 2.2e-16 ***
+#&gt; branddannon   1.65734    0.16723   9.9105 &lt; 2.2e-16 ***
 #&gt; ---
 #&gt; Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 ```
@@ -465,10 +465,10 @@
 
 ```
 #&gt;               Estimate Std. Error  z-value  Pr(&gt;|z|)    
-#&gt; scalePar      0.388626   0.024265  16.0156 &lt; 2.2e-16 ***
-#&gt; brandhiland  -8.019815   0.460382 -17.4199 &lt; 2.2e-16 ***
-#&gt; brandyoplait  3.721731   0.159234  23.3728 &lt; 2.2e-16 ***
-#&gt; branddannon   1.657345   0.167479   9.8959 &lt; 2.2e-16 ***
+#&gt; scalePar      0.388626   0.024254  16.0230 &lt; 2.2e-16 ***
+#&gt; brandhiland  -8.019815   0.459511 -17.4529 &lt; 2.2e-16 ***
+#&gt; brandyoplait  3.721731   0.158824  23.4330 &lt; 2.2e-16 ***
+#&gt; branddannon   1.657345   0.167231   9.9105 &lt; 2.2e-16 ***
 #&gt; ---
 #&gt; Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 ```
@@ -998,9 +998,9 @@
 
 # Your turn
 
-- Download the practice zip file for this section.
-- Open the `estimating-models.Rproj` file to open RStudio.
-- In RStudio, open the `practice.R` file.
+- Be sure to have downloaded and unzipped the [practice code](https://jhelvy.github.io/2023-qux-conf-conjoint/practice/2023-qux-conf-conjoint.zip).
+- Open the `2023-qux-conf-conjoint.Rproj` file to open RStudio.
+- In RStudio, open the `estimating-models.R` file.
 - Experiment with estimating different models (use either one of the example datasets included in the package, or simulate your own data!)
 
 ---