version bumped to 0.6.0

Author: GuyliannEngels

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: BioDataScience
 Type: Package
-Version: 0.5.0
+Version: 0.6.0
 Title: A Series of Learnr Documents for Biological Data Science
 Description: Interactive documents using learnr for studying biological data science.
 Authors@R: c(

NEWS.md

@@ -1,5 +1,9 @@
 # BioDataScience News
 
+## Changes in version 0.6.0
+
+- Tutorial 03a_test finalized
+
 ## Changes in version 0.5.0
 
 - add new datasest biometry

inst/tutorials/03a_test/test.Rmd

@@ -7,7 +7,7 @@ output:
     progressive: true
 tutorial:
   id: "sdd1.03a"
-  version: 0.7
+  version: 1.0.0
 runtime: shiny_prerendered
 ---
 
@@ -23,6 +23,7 @@ tutorial_options(exercise.cap = "Code R")
 knitr::opts_chunk$set(echo = FALSE, comment = NA)
 
 library(BioDataScience)
+library(ggridges)
 
 # Dataset
 urchin <- read("urchin_bio", package = "data.io", lang = "fr")

inst/tutorials/03a_test/test.html

@@ -100,7 +100,7 @@ <h3>Biométrie humaine</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la distribution de l’age des individus sondés lors d’une étude portant sur l’obésité en Hainaut. Le genre de ces derniers est employé afin produire deux graphiques.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;age&quot;      &quot;biometry&quot; &quot;gender&quot;  </code></pre>
+<pre><code>[1] &quot;gender&quot;   &quot;biometry&quot; &quot;age&quot;     </code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-5-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph2" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
 <script type="application/json" data-opts-chunk="1">{"fig.width":6.5,"fig.height":4,"fig.retina":2,"fig.align":"default","fig.keep":"high","fig.show":"asis","out.width":624,"warning":true,"error":false,"message":true,"exercise.df_print":"paged","exercise.timelimit":60,"exercise.checker":["function (label, user_code, solution_code, check_code, envir_result, ","    evaluate_result, ...) ","{","    list(message = \"Your answer is recorded!\", correct = TRUE, ","        type = \"info\", location = \"append\")","}"]}</script>
@@ -110,7 +110,7 @@ <h3>Biométrie humaine</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la répartition de la densité de la hauteur en fonction du genre des individus.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;height&quot;   &quot;gender&quot;   &quot;biometry&quot;</code></pre>
+<pre><code>[1] &quot;biometry&quot; &quot;gender&quot;   &quot;height&quot;  </code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-7-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph3" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
 <script type="application/json" data-opts-chunk="1">{"fig.width":6.5,"fig.height":4,"fig.retina":2,"fig.align":"default","fig.keep":"high","fig.show":"asis","out.width":624,"warning":true,"error":false,"message":true,"exercise.df_print":"paged","exercise.timelimit":60,"exercise.checker":["function (label, user_code, solution_code, check_code, envir_result, ","    evaluate_result, ...) ","{","    list(message = \"Your answer is recorded!\", correct = TRUE, ","        type = \"info\", location = \"append\")","}"]}</script>
@@ -120,7 +120,7 @@ <h3>Biométrie humaine</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la répartition de la densité de la hauteur en fonction du genre des individus.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;height&quot;   &quot;biometry&quot; &quot;gender&quot;  </code></pre>
+<pre><code>[1] &quot;height&quot;   &quot;gender&quot;   &quot;biometry&quot;</code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-9-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph4" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
 <script type="application/json" data-opts-chunk="1">{"fig.width":6.5,"fig.height":4,"fig.retina":2,"fig.align":"default","fig.keep":"high","fig.show":"asis","out.width":624,"warning":true,"error":false,"message":true,"exercise.df_print":"paged","exercise.timelimit":60,"exercise.checker":["function (label, user_code, solution_code, check_code, envir_result, ","    evaluate_result, ...) ","{","    list(message = \"Your answer is recorded!\", correct = TRUE, ","        type = \"info\", location = \"append\")","}"]}</script>
@@ -148,7 +148,7 @@ <h3>Analyse d’image du zooplancton</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la répartition de taille en fonction de la classe des copépodes.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;class&quot;    &quot;copepoda&quot; &quot;size&quot;    </code></pre>
+<pre><code>[1] &quot;size&quot;     &quot;class&quot;    &quot;copepoda&quot;</code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-12-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph5" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
 <script type="application/json" data-opts-chunk="1">{"fig.width":6.5,"fig.height":4,"fig.retina":2,"fig.align":"default","fig.keep":"high","fig.show":"asis","out.width":624,"warning":true,"error":false,"message":true,"exercise.df_print":"paged","exercise.timelimit":60,"exercise.checker":["function (label, user_code, solution_code, check_code, envir_result, ","    evaluate_result, ...) ","{","    list(message = \"Your answer is recorded!\", correct = TRUE, ","        type = \"info\", location = \"append\")","}"]}</script>
@@ -170,7 +170,7 @@ <h3>Analyse d’image du zooplancton</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la répartition de taille en fonction de la classe du zooplancton.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;class&quot;       &quot;size&quot;        &quot;zooplankton&quot;</code></pre>
+<pre><code>[1] &quot;zooplankton&quot; &quot;class&quot;       &quot;size&quot;       </code></pre>
 <pre><code>Picking joint bandwidth of 0.112</code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-16-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph7" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
@@ -193,7 +193,7 @@ <h3>Biométrie d’oursins</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la variation de la taille en fonction de la masse des oursins. L’orgine de ces derniers est mis en évidence par la couleur.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;height&quot; &quot;weight&quot; &quot;urchin&quot; &quot;origin&quot;</code></pre>
+<pre><code>[1] &quot;weight&quot; &quot;origin&quot; &quot;height&quot; &quot;urchin&quot;</code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-19-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph1" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
 <script type="application/json" data-opts-chunk="1">{"fig.width":6.5,"fig.height":4,"fig.retina":2,"fig.align":"default","fig.keep":"high","fig.show":"asis","out.width":624,"warning":true,"error":false,"message":true,"exercise.df_print":"paged","exercise.timelimit":60,"exercise.checker":["function (label, user_code, solution_code, check_code, envir_result, ","    evaluate_result, ...) ","{","    list(message = \"Your answer is recorded!\", correct = TRUE, ","        type = \"info\", location = \"append\")","}"]}</script>
@@ -203,7 +203,7 @@ <h3>Biométrie d’oursins</h3>
 </div>
 <p>Reproduisez le graphique suivant qui représente la variation de la taille en fonction de la masse des oursins. L’orgine et le sex de ces derniers sont mis en évidence par la couleur et la forme.</p>
 <p><strong>Nom du jeu de données et des variables importantes</strong></p>
-<pre><code>[1] &quot;weight&quot; &quot;sex&quot;    &quot;origin&quot; &quot;height&quot; &quot;urchin&quot;</code></pre>
+<pre><code>[1] &quot;origin&quot; &quot;height&quot; &quot;weight&quot; &quot;sex&quot;    &quot;urchin&quot;</code></pre>
 <pre><code>Warning: Removed 232 rows containing missing values (geom_point).</code></pre>
 <p><img src="test_files/figure-html/unnamed-chunk-21-1.png" width="624" /></p>
 <div class="tutorial-exercise" data-label="graph8" data-caption="Code R" data-completion="1" data-diagnostics="1" data-startover="1" data-lines="0">
@@ -239,6 +239,7 @@ <h2>Conclusion</h2>
 knitr::opts_chunk$set(echo = FALSE, comment = NA)
 
 library(BioDataScience)
+library(ggridges)
 
 # Dataset
 urchin <- read("urchin_bio", package = "data.io", lang = "fr")
@@ -249,7 +250,7 @@ <h2>Conclusion</h2>
 </script>
 
 <script type="application/shiny-prerendered" data-context="server">
-learnr:::register_http_handlers(session, metadata = list(id = "sdd1.03a", version = 0.7))
+learnr:::register_http_handlers(session, metadata = list(id = "sdd1.03a", version = "1.0.0"))
 </script>
 
 <script type="application/shiny-prerendered" data-context="server">