diff --git a/.Rbuildignore b/.Rbuildignore
index cf845c5..a9ac29a 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -18,4 +18,6 @@ vignettes/precompile\.R
 ^Meta$
 ^CRAN-SUBMISSION$
 ^README\.Rmd$
-^.mailmap$
\ No newline at end of file
+^.mailmap$
+^\.positai$
+^\.claude$
diff --git a/.gitignore b/.gitignore
index d1b11a3..655a2bb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -20,3 +20,4 @@ inst/tutorials/tutorial5/equivalence_data/*
 toadd/*
 .data.csv
 cache/*
+.positai
diff --git a/DESCRIPTION b/DESCRIPTION
index f36cf78..9748ca1 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: netrics
 Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
-Version: 0.2.2
-Date: 2026-04-24
+Version: 0.2.3
+Date: 2026-04-25
 Description: Many tools for calculating network, node, or tie
    marks, measures, motifs and memberships of many different types of networks.
    Marks identify structural positions, measures quantify network properties,
diff --git a/NEWS.md b/NEWS.md
index 00a7dc4..55cc3a1 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,9 @@
+# netrics 0.2.3
+
+## Tutorials
+
+- Fixed object reference in position tutorial
+
 # netrics 0.2.2
 
 ## Package
diff --git a/cran-comments.md b/cran-comments.md
index b55f507..064df7a 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -9,6 +9,4 @@
 
 0 errors | 0 warnings | 0 notes
 
-- While last package submission was only 9 days ago:
-  - Updates to bring netrics into line with latest version of manynet (> v2.0.0)
-  - Fixes a reverse dependency issue in cross-package documentation referencing
+- Fixed reverse dependency issue
diff --git a/inst/tutorials/tutorial5/position.Rmd b/inst/tutorials/tutorial5/position.Rmd
index 2d967fd..193bb22 100644
--- a/inst/tutorials/tutorial5/position.Rmd
+++ b/inst/tutorials/tutorial5/position.Rmd
@@ -48,6 +48,7 @@ learnr::random_phrases_add(language = "en",
 friends <- to_uniplex(ison_algebra, "friends")
 social <- to_uniplex(ison_algebra, "social")
 tasks <- to_uniplex(ison_algebra, "tasks")
+alge <- to_named(ison_algebra)
 ```
 
 
@@ -479,7 +480,7 @@ What we are saying here is that we want to partition the nodes
 into two clusters, no matter how dissimilar they are.
 
 ```{r k-discrete, exercise = TRUE, exercise.setup = "varyclust"}
-plot(node_in_structural(alge, k = 2))
+plot(node_in_structural(to_named(ison_algebra), k = 2))
 ```
 
 But we're really just guessing. Maybe 2 is not the best `k`?
@@ -523,8 +524,8 @@ can return a somewhat different result to the elbow method.
 See what we have here, with all other arguments held the same:
 
 ```{r elbowsil, exercise = TRUE, exercise.setup = "varyclust"}
-plot(node_in_structural(alge, k = "elbow"))
-plot(node_in_structural(alge, k = "silhouette"))
+plot(node_in_structural(to_named(ison_algebra), k = "elbow"))
+plot(node_in_structural(to_named(ison_algebra), k = "silhouette"))
 ```
 
 Ok, so it looks like the elbow method returns `k == 3` as a good trade-off
@@ -551,7 +552,7 @@ however oftentimes this misses the point in finding clusters of nodes that,
 despite some variation, can be considered as similar on some dimension.
 
 ```{r strict, exercise = TRUE, exercise.setup = "varyclust"}
-plot(node_in_structural(alge, k = "strict"))
+plot(node_in_structural(to_named(ison_algebra), k = "strict"))
 ```
 
 Here for example, no two nodes have precisely the same tie-profile,
@@ -573,6 +574,7 @@ structurally equivalent classes.
 We can graph this of course, as above:
 
 ```{r strplot, exercise = TRUE, exercise.setup = "varyclust"}
+alge <- to_named(ison_algebra)
 alge %>% 
   mutate(se = node_in_structural(alge)) %>% 
   graphr(node_color = "se")
diff --git a/inst/tutorials/tutorial5/position.html b/inst/tutorials/tutorial5/position.html
index 8426eef..ba9c0d8 100644
--- a/inst/tutorials/tutorial5/position.html
+++ b/inst/tutorials/tutorial5/position.html
@@ -533,7 +533,7 @@ <h3>Step three: identifying the number of clusters</h3>
 <div class="tutorial-exercise" data-label="k-discrete"
 data-completion="1" data-diagnostics="1" data-startover="1"
 data-lines="0" data-pipe="|&gt;">
-<pre class="text"><code>plot(node_in_structural(alge, k = 2))</code></pre>
+<pre class="text"><code>plot(node_in_structural(to_named(ison_algebra), k = 2))</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>But we’re really just guessing. Maybe 2 is not the best
@@ -571,8 +571,8 @@ <h3>Step three: identifying the number of clusters</h3>
 <div class="tutorial-exercise" data-label="elbowsil" data-completion="1"
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
-<pre class="text"><code>plot(node_in_structural(alge, k = &quot;elbow&quot;))
-plot(node_in_structural(alge, k = &quot;silhouette&quot;))</code></pre>
+<pre class="text"><code>plot(node_in_structural(to_named(ison_algebra), k = &quot;elbow&quot;))
+plot(node_in_structural(to_named(ison_algebra), k = &quot;silhouette&quot;))</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>Ok, so it looks like the elbow method returns <code>k == 3</code> as
@@ -597,7 +597,7 @@ <h3>Step three: identifying the number of clusters</h3>
 <div class="tutorial-exercise" data-label="strict" data-completion="1"
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
-<pre class="text"><code>plot(node_in_structural(alge, k = &quot;strict&quot;))</code></pre>
+<pre class="text"><code>plot(node_in_structural(to_named(ison_algebra), k = &quot;strict&quot;))</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
 </div>
 <p>Here for example, no two nodes have precisely the same tie-profile,
@@ -620,7 +620,8 @@ <h3>Summarising profiles</h3>
 <div class="tutorial-exercise" data-label="strplot" data-completion="1"
 data-diagnostics="1" data-startover="1" data-lines="0"
 data-pipe="|&gt;">
-<pre class="text"><code>alge %&gt;% 
+<pre class="text"><code>alge &lt;- to_named(ison_algebra)
+alge %&gt;% 
   mutate(se = node_in_structural(alge)) %&gt;% 
   graphr(node_color = &quot;se&quot;)</code></pre>
 <script type="application/json" data-ui-opts="1">{"engine":"r","has_checker":false,"caption":"<span data-i18n=\"text.enginecap\" data-i18n-opts=\"{&quot;engine&quot;:&quot;R&quot;}\">R Code<\/span>"}</script>
@@ -876,6 +877,7 @@ <h2>Glossary</h2>
 friends <- to_uniplex(ison_algebra, "friends")
 social <- to_uniplex(ison_algebra, "social")
 tasks <- to_uniplex(ison_algebra, "tasks")
+alge <- to_named(ison_algebra)
 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
@@ -928,11 +930,11 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
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-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
-        engine = "r")), code_check = NULL, error_check = NULL, 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = NULL, chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r")), code_check = NULL, error_check = NULL, 
     check = NULL, solution = structure(c("data(\"ison_algebra\", package = \"manynet\")", 
     "?manynet::ison_algebra", "# If you want to see the network object, you can run the name of the object", 
     "# ison_algebra", "# or print the code with brackets at the front and end of the code", 
@@ -991,13 +993,13 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "", chunks = list(list(label = "data", code = "", 
-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
-        engine = "r"), list(label = "separatingnets", code = "", 
-        opts = list(label = "\"separatingnets\"", exercise = "TRUE", 
-            exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "", chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r"), list(label = "separatingnets", 
+    code = "", opts = list(label = "\"separatingnets\"", exercise = "TRUE", 
+        exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
     code_check = NULL, error_check = NULL, check = NULL, solution = structure(c("friends <- to_uniplex(ison_algebra, \"friends\")", 
     "graphr(friends) + ggtitle(\"Friendship\")", "", "social <- to_uniplex(ison_algebra, \"social\")", 
     "graphr(social) + ggtitle(\"Social\")", "", "tasks <- to_uniplex(ison_algebra, \"tasks\")", 
@@ -1029,22 +1031,22 @@ <h2>Glossary</h2>
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-    "character")), answers = list(structure(list(id = "lnr_ans_84a4d54", 
+    "character")), answers = list(structure(list(id = "lnr_ans_17f5052", 
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         label = structure("Highest degree nodes", html = TRUE, class = c("html", 
-        "character")), correct = FALSE, message = structure("Try it again. I have a good feeling about this.", html = TRUE, class = c("html", 
+        "character")), correct = FALSE, message = structure("That’s okay: you learn more from mistakes than successes. Let’s do it one more time.", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
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@@ -1054,7 +1056,7 @@ <h2>Glossary</h2>
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 </script>
 
@@ -1062,29 +1064,29 @@ <h2>Glossary</h2>
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-        "character")), correct = FALSE, message = structure("Please try again.", html = TRUE, class = c("html", 
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@@ -1094,31 +1096,31 @@ <h2>Glossary</h2>
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 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
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@@ -1129,7 +1131,7 @@ <h2>Glossary</h2>
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 </script>
 
@@ -1163,9 +1165,9 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
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         engine = "r"), list(label = "bridges", code = "sum(tie_is_bridge(friends))\nany(node_by_bridges(friends)>0)", 
@@ -1227,9 +1229,9 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
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-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
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         opts = list(label = "\"objects-setup\"", purl = "FALSE"), 
         engine = "r"), list(label = "constraint", code = "", 
@@ -1291,9 +1293,9 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
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-    setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
     chunks = list(list(label = "objects-setup", code = "alge <- to_named(ison_algebra)\nfriends <- to_uniplex(alge, \"friends\")\nsocial <- to_uniplex(alge, \"social\")\ntasks <- to_uniplex(alge, \"tasks\")", 
         opts = list(label = "\"objects-setup\"", purl = "FALSE"), 
         engine = "r"), list(label = "constraintplot", code = "", 
@@ -1332,11 +1334,11 @@ <h2>Glossary</h2>
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     question = structure("Do bridges innovate?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_600e324", 
+    "character")), answers = list(structure(list(id = "lnr_ans_bafb4bf", 
         option = "No", value = "No", label = structure("No", html = TRUE, class = c("html", 
-        "character")), correct = TRUE, message = structure("What first-rate work!", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = structure("Delightful!", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_a6b4531", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_9d821c8", 
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         "character")), correct = FALSE, message = structure("Bridges can be important conduits for information, but ties do not typically have agency. Nodes do. Nodes in structural holes are called brokers. Nodes that are located in structural holes that would be there but for the node and their ties can be identified through various measures such as the number of bridges they are adjacent to, or their constraint score.", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
@@ -1348,23 +1350,23 @@ <h2>Glossary</h2>
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     loading = NULL, random_answer_order = TRUE, allow_retry = TRUE, 
-    seed = 1056174169.50818, options = list()), class = c("learnr_radio", 
+    seed = 449460963.790703, options = list()), class = c("learnr_radio", 
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 </script>
  
 <script type="application/shiny-prerendered" data-context="server">
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     label = structure("same/similar tie partners.", html = TRUE, class = c("html", 
-    "character")), correct = TRUE, message = structure("Amazing!", html = TRUE, class = c("html", 
+    "character")), correct = TRUE, message = structure("Well done!", html = TRUE, class = c("html", 
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-"tutorial_quiz_answer")), structure(list(id = "lnr_ans_7837804", 
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@@ -1376,7 +1378,7 @@ <h2>Glossary</h2>
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 "character")), message = NULL, post_message = NULL), ids = list(
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 )), session = session)
 </script>
@@ -1411,19 +1413,19 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
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-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
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-            exercise.setup = "\"data\""), engine = "r")), code_check = NULL, 
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-        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
-        cache.path = "position_cache/html/", cache.vars = NULL, 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "", chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r"), list(label = "find-se", 
+    code = "node_in_structural(ison_algebra)\n\nison_algebra %>% \n  mutate(se = node_in_structural(ison_algebra)) %>% \n  graphr(node_color = \"se\")", 
+    opts = list(label = "\"find-se\"", exercise = "TRUE", exercise.setup = "\"data\""), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "position_cache/html/", cache.vars = NULL, 
         cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
         cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
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@@ -1475,13 +1477,13 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "", chunks = list(list(label = "data", code = "", 
-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
-        engine = "r"), list(label = "construct-cor", code = "", 
-        opts = list(label = "\"construct-cor\"", exercise = "TRUE", 
-            exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "", chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r"), list(label = "construct-cor", 
+    code = "", opts = list(label = "\"construct-cor\"", exercise = "TRUE", 
+        exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
     code_check = NULL, error_check = NULL, check = NULL, solution = structure(c("node_x_tie(ison_algebra)", 
     "dim(node_x_tie(ison_algebra))"), chunk_opts = list(label = "construct-cor-solution")), 
     tests = NULL, options = list(eval = FALSE, echo = TRUE, results = "markup", 
@@ -1538,13 +1540,13 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "", chunks = list(list(label = "data", code = "", 
-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
-        engine = "r"), list(label = "construct-binary", code = "", 
-        opts = list(label = "\"construct-binary\"", exercise = "TRUE", 
-            exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "", chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r"), list(label = "construct-binary", 
+    code = "", opts = list(label = "\"construct-binary\"", exercise = "TRUE", 
+        exercise.setup = "\"data\"", purl = "FALSE"), engine = "r")), 
     code_check = NULL, error_check = NULL, check = NULL, solution = structure(c("# But it's easier to simplify the network by removing the classification into different types of ties.", 
     "# Note that this also reduces the total number of possible paths between nodes", 
     "ison_algebra %>%", "  select_ties(-type) %>%", "  node_x_tie()"
@@ -1603,19 +1605,19 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "", chunks = list(list(label = "data", code = "", 
-        opts = list(label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
-        engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
-        opts = list(label = "\"varyclust\"", exercise = "TRUE", 
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-        background = "#F7F7F7", strip.white = TRUE, cache = 0, 
-        cache.path = "position_cache/html/", cache.vars = NULL, 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "", chunks = list(list(label = "data", 
+    code = "", opts = list(label = "\"data\"", exercise = "TRUE", 
+        purl = "FALSE"), engine = "r"), list(label = "varyclust", 
+    code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+    opts = list(label = "\"varyclust\"", exercise = "TRUE", exercise.setup = "\"data\""), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "position_cache/html/", cache.vars = NULL, 
         cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
         cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
         fig.align = "default", fig.path = "position_files/figure-html/", 
@@ -1642,11 +1644,11 @@ <h2>Glossary</h2>
 <script type="application/shiny-prerendered" data-context="server">
 learnr:::question_prerendered_chunk(structure(list(type = "learnr_radio", label = "scale-interp", 
     question = structure("Do you see any differences?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_6736b39", 
+    "character")), answers = list(structure(list(id = "lnr_ans_22a819", 
         option = "Yes", value = "Yes", label = structure("Yes", html = TRUE, class = c("html", 
-        "character")), correct = TRUE, message = structure("Smashing!", html = TRUE, class = c("html", 
+        "character")), correct = TRUE, message = structure("Fantastic!", html = TRUE, class = c("html", 
         "character")), type = "literal"), class = c("tutorial_question_answer", 
-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_7d36710", 
+    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_6321048", 
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@@ -1657,7 +1659,7 @@ <h2>Glossary</h2>
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     loading = NULL, random_answer_order = FALSE, allow_retry = TRUE, 
-    seed = 762560801.144905, options = list()), class = c("learnr_radio", 
+    seed = 988924257.539496, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
  
@@ -1691,15 +1693,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
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         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "k-discrete", code = "plot(node_in_structural(alge, k = 2))", 
+        label = "k-discrete", code = "plot(node_in_structural(to_named(ison_algebra), k = 2))", 
         opts = list(label = "\"k-discrete\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r")), 
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@@ -1720,7 +1722,7 @@ <h2>Glossary</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "k-discrete", exercise = TRUE, 
-        exercise.setup = "varyclust", code = "plot(node_in_structural(alge, k = 2))", 
+        exercise.setup = "varyclust", code = "plot(node_in_structural(to_named(ison_algebra), k = 2))", 
         out.width.px = 624, out.height.px = 384, params.src = "k-discrete, exercise = TRUE, exercise.setup = \"varyclust\"", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
@@ -1757,15 +1759,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
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         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "elbowsil", code = "plot(node_in_structural(alge, k = \"elbow\"))\nplot(node_in_structural(alge, k = \"silhouette\"))", 
+        label = "elbowsil", code = "plot(node_in_structural(to_named(ison_algebra), k = \"elbow\"))\nplot(node_in_structural(to_named(ison_algebra), k = \"silhouette\"))", 
         opts = list(label = "\"elbowsil\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r")), 
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@@ -1786,9 +1788,9 @@ <h2>Glossary</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "elbowsil", exercise = TRUE, 
-        exercise.setup = "varyclust", code = c("plot(node_in_structural(alge, k = \"elbow\"))", 
-        "plot(node_in_structural(alge, k = \"silhouette\"))"), 
-        out.width.px = 624, out.height.px = 384, params.src = "elbowsil, exercise = TRUE, exercise.setup = \"varyclust\"", 
+        exercise.setup = "varyclust", code = c("plot(node_in_structural(to_named(ison_algebra), k = \"elbow\"))", 
+        "plot(node_in_structural(to_named(ison_algebra), k = \"silhouette\"))"
+        ), out.width.px = 624, out.height.px = 384, params.src = "elbowsil, exercise = TRUE, exercise.setup = \"varyclust\"", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
 )))
@@ -1824,15 +1826,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
     chunks = list(list(label = "data", code = "", opts = list(
         label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
         engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "strict", code = "plot(node_in_structural(alge, k = \"strict\"))", 
+        label = "strict", code = "plot(node_in_structural(to_named(ison_algebra), k = \"strict\"))", 
         opts = list(label = "\"strict\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r")), 
     code_check = NULL, error_check = NULL, check = NULL, solution = NULL, 
@@ -1853,7 +1855,7 @@ <h2>Glossary</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "strict", exercise = TRUE, 
-        exercise.setup = "varyclust", code = "plot(node_in_structural(alge, k = \"strict\"))", 
+        exercise.setup = "varyclust", code = "plot(node_in_structural(to_named(ison_algebra), k = \"strict\"))", 
         out.width.px = 624, out.height.px = 384, params.src = "strict, exercise = TRUE, exercise.setup = \"varyclust\"", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
     engine = "r", version = "4"), class = c("r", "tutorial_exercise"
@@ -1890,15 +1892,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
     chunks = list(list(label = "data", code = "", opts = list(
         label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
         engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "strplot", code = "alge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
+        label = "strplot", code = "alge <- to_named(ison_algebra)\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
         opts = list(label = "\"strplot\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r")), 
     code_check = NULL, error_check = NULL, check = NULL, solution = NULL, 
@@ -1919,7 +1921,8 @@ <h2>Glossary</h2>
         message = TRUE, render = NULL, ref.label = NULL, child = NULL, 
         engine = "r", split = FALSE, include = TRUE, purl = TRUE, 
         max.print = 1000, label = "strplot", exercise = TRUE, 
-        exercise.setup = "varyclust", code = c("alge %>% ", "  mutate(se = node_in_structural(alge)) %>% ", 
+        exercise.setup = "varyclust", code = c("alge <- to_named(ison_algebra)", 
+        "alge %>% ", "  mutate(se = node_in_structural(alge)) %>% ", 
         "  graphr(node_color = \"se\")"), out.width.px = 624, 
         out.height.px = 384, params.src = "strplot, exercise = TRUE, exercise.setup = \"varyclust\"", 
         fig.num = 0, exercise.df_print = "paged", exercise.checker = "NULL"), 
@@ -1957,15 +1960,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))\nalge <- to_named(ison_algebra)\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
     chunks = list(list(label = "data", code = "", opts = list(
         label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
         engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "strplot", code = "alge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
+        label = "strplot", code = "alge <- to_named(ison_algebra)\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
         opts = list(label = "\"strplot\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r"), 
         list(label = "summ", code = "", opts = list(label = "\"summ\"", 
@@ -2026,15 +2029,15 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))\nalge <- to_named(ison_algebra)\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
     chunks = list(list(label = "data", code = "", opts = list(
         label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
         engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
         opts = list(label = "\"varyclust\"", exercise = "TRUE", 
             exercise.setup = "\"data\""), engine = "r"), list(
-        label = "strplot", code = "alge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
+        label = "strplot", code = "alge <- to_named(ison_algebra)\nalge %>% \n  mutate(se = node_in_structural(alge)) %>% \n  graphr(node_color = \"se\")", 
         opts = list(label = "\"strplot\"", exercise = "TRUE", 
             exercise.setup = "\"varyclust\""), engine = "r"), 
         list(label = "block", code = "", opts = list(label = "\"block\"", 
@@ -2100,9 +2103,9 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = "\nalge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
     chunks = list(list(label = "data", code = "", opts = list(
         label = "\"data\"", exercise = "TRUE", purl = "FALSE"), 
         engine = "r"), list(label = "varyclust", code = "alge <- to_named(ison_algebra) # fake names to make comparison clearer\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"euclidean\"))\n\n# changing the type of distance used\nplot(node_in_structural(alge, cluster = \"hier\", distance = \"manhattan\"))\n\n# changing the clustering algorithm\nplot(node_in_structural(alge, cluster = \"concor\", distance = \"euclidean\"))", 
@@ -2168,19 +2171,19 @@ <h2>Glossary</h2>
 "                                      \"Beau travail!\",", "                                      \"Bravo!\",", 
 "                                      \"Super!\"),", "                           encouragement = c(\"Bon effort\"))", 
 "friends <- to_uniplex(ison_algebra, \"friends\")", "social <- to_uniplex(ison_algebra, \"social\")", 
-"tasks <- to_uniplex(ison_algebra, \"tasks\")"), chunk_opts = list(
-    label = "setup", include = FALSE, purl = FALSE, eval = TRUE)), 
-    setup = NULL, chunks = list(list(label = "freeplay", code = "", 
-        opts = list(label = "\"freeplay\"", exercise = "TRUE"), 
-        engine = "r")), code_check = NULL, error_check = NULL, 
-    check = NULL, solution = NULL, tests = NULL, options = list(
-        eval = FALSE, echo = TRUE, results = "markup", tidy = FALSE, 
-        tidy.opts = NULL, collapse = FALSE, prompt = FALSE, comment = NA, 
-        highlight = FALSE, size = "normalsize", background = "#F7F7F7", 
-        strip.white = TRUE, cache = 0, cache.path = "position_cache/html/", 
-        cache.vars = NULL, cache.lazy = TRUE, dependson = NULL, 
-        autodep = FALSE, cache.rebuild = FALSE, fig.keep = "high", 
-        fig.show = "asis", fig.align = "default", fig.path = "position_files/figure-html/", 
+"tasks <- to_uniplex(ison_algebra, \"tasks\")", "alge <- to_named(ison_algebra)"
+), chunk_opts = list(label = "setup", include = FALSE, purl = FALSE, 
+    eval = TRUE)), setup = NULL, chunks = list(list(label = "freeplay", 
+    code = "", opts = list(label = "\"freeplay\"", exercise = "TRUE"), 
+    engine = "r")), code_check = NULL, error_check = NULL, check = NULL, 
+    solution = NULL, tests = NULL, options = list(eval = FALSE, 
+        echo = TRUE, results = "markup", tidy = FALSE, tidy.opts = NULL, 
+        collapse = FALSE, prompt = FALSE, comment = NA, highlight = FALSE, 
+        size = "normalsize", background = "#F7F7F7", strip.white = TRUE, 
+        cache = 0, cache.path = "position_cache/html/", cache.vars = NULL, 
+        cache.lazy = TRUE, dependson = NULL, autodep = FALSE, 
+        cache.rebuild = FALSE, fig.keep = "high", fig.show = "asis", 
+        fig.align = "default", fig.path = "position_files/figure-html/", 
         dev = "png", dev.args = NULL, dpi = 192, fig.ext = "png", 
         fig.width = 6.5, fig.height = 4, fig.env = "figure", 
         fig.cap = NULL, fig.scap = NULL, fig.lp = "fig:", fig.subcap = NULL, 
@@ -2203,7 +2206,7 @@ <h2>Glossary</h2>
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