01a_reg_lin correction mineure

Author: GuyliannEngels

inst/tutorials/01a_reg_lin/reg_lin_simp.Rmd

@@ -265,7 +265,7 @@ question("D'après votre analyse, pouvons nous considérer qu'il y a ...",
 
 ```{r}
 x <- seq(from = 5, to = 15, by = 0.25)
-  
+set.seed(42)
 a <- x*1 + 3 + rnorm(sd = 0.5, n = length(x))
 b <- x*1.1 + 3 + rnorm(sd = 0.5, n = length(x))
 c <- x*1.2 + 3 + rnorm(sd = 0.5, n = length(x))
@@ -279,7 +279,6 @@ mais <- tibble(
 )
 ```
 
-
 Réalisez la régression linéaire de `value` en fonction de `x` sur le jeu de données `mais`. Vous avez à votre dispositon un nuage de points et un résumé des données pour avoir une première connaissance de données.
 
 ```{r}
@@ -295,6 +294,7 @@ lm_result <- broom::tidy(lm_reg)
 ```
 
 ```{r reg1-prep}
+set.seed(42)
 x <- seq(from = 5, to = 15, by = 0.25)
   
 a <- x*1 + 3 + rnorm(sd = 0.5, n = length(x))

inst/tutorials/01a_reg_lin/reg_lin_simp.html

@@ -100,14 +100,14 @@ <h2>Corrélation</h2>
 </div>
 <p>Répondez à la question ci-dessous</p>
 
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 <ul>
 <li>Réalisez une matrice de correlation avec la méthode de Spearman</li>
 </ul>
@@ -129,14 +129,14 @@ <h2>Corrélation</h2>
 </div>
 <p>Répondez à la question ci-dessous</p>
 
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+<div id="htmlwidget-6d1817a09071ea6916d6" style="width:100%;height:auto;", class = "quiz html-widget">
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 <ul>
 <li>Reproduisez le graphique ci-dessous en vous basant sur vos matrices réalisées précédements</li>
 </ul>
@@ -186,28 +186,29 @@ <h2>Homoscédasicité</h2>
 <pre class="text"><code># TODO</code></pre>
 </div>
 
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+<script type="application/json" data-for="htmlwidget-2be8afc5e70c9632d8cf">{"x":{"question":"D&#39;après votre analyse, pouvons nous considérer qu&#39;il y a ...","answers":[{"option":"homoscédasticité","correct":false,"message":null},{"option":"hétéroscédasticité","correct":false,"message":null}],"label":"qu_homo","skipStartButton":true,"perQuestionResponseAnswers":true,"perQuestionResponseMessaging":true,"preventUnanswered":true,"displayQuestionCount":false,"displayQuestionNumber":false,"disableRanking":true,"nextQuestionText":"","checkAnswerText":"Submit Answer","allowRetry":false,"randomSortAnswers":false,"json":{"info":{"name":"","main":""},"questions":[{"q":"D&#39;après votre analyse, pouvons nous considérer qu&#39;il y a ...","a":[{"option":"homoscédasticité","correct":false,"message":null},{"option":"hétéroscédasticité","correct":false,"message":null}],"correct":"Correct!","incorrect":"Incorrect."}]}},"evals":[],"jsHooks":[]}</script>
 </div>
 <div id="section-regression-lineaire" class="section level2">
 <h2>Régression linéaire</h2>
 <p>Réalisez la régression linéaire de <code>value</code> en fonction de <code>x</code> sur le jeu de données <code>mais</code>. Vous avez à votre dispositon un nuage de points et un résumé des données pour avoir une première connaissance de données.</p>
 <p><img src="reg_lin_simp_files/figure-html/unnamed-chunk-6-1.png" width="624" /></p>
 <pre><code>       x            value        area  
- Min.   : 5.0   Min.   : 7.894   a:41  
- 1st Qu.: 7.5   1st Qu.:10.980   b:41  
- Median :10.0   Median :13.911   c:41  
- Mean   :10.0   Mean   :13.980         
- 3rd Qu.:12.5   3rd Qu.:16.804         
- Max.   :15.0   Max.   :21.165         </code></pre>
+ Min.   : 5.0   Min.   : 7.647   a:41  
+ 1st Qu.: 7.5   1st Qu.:11.036   b:41  
+ Median :10.0   Median :13.818   c:41  
+ Mean   :10.0   Mean   :13.956         
+ 3rd Qu.:12.5   3rd Qu.:16.726         
+ Max.   :15.0   Max.   :21.259         </code></pre>
 <div class="tutorial-exercise-support" data-label="reg1-prep" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
-<pre class="text"><code>x &lt;- seq(from = 5, to = 15, by = 0.25)
+<pre class="text"><code>set.seed(42)
+x &lt;- seq(from = 5, to = 15, by = 0.25)
 
 a &lt;- x*1 + 3 + rnorm(sd = 0.5, n = length(x))
 b &lt;- x*1.1 + 3 + rnorm(sd = 0.5, n = length(x))
@@ -241,27 +242,27 @@ <h2>Régression linéaire</h2>
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