change image path to local

Author: DominikRafacz

content/post/2023-01-30-r-basic-advanceds-variables-and-names-in-dplyr/index.Rmd

@@ -9,6 +9,8 @@ description: "TODO."
 output:
   blogdown::html_page:
     toc: true
+images:
+  - selection-ambiguity.png
 ---
 
 ## Intro
@@ -75,7 +77,7 @@ iris %>%
 This generates a warning. Given the tidyverse's informative error messages, it's wise to pay heed. Directly supplying can be ambiguous -- imagine having a column named `my_variable`. Which should be selected if we have both the column and the external variable?
 
 
-![Diagram showing the dillema that dplyr is faced with when we torment it with ambiguous selections.](images/selection-ambiguity.png)
+![Diagram showing the dillema that dplyr is faced with when we torment it with ambiguous selections.](selection-ambiguity.png)
 To ensure clarity, dplyr authors suggest using dplyr::all_of(), which explicitly converts a name vector into symbols, resolving any ambiguities.
 
 ```{r warning=TRUE}

content/post/2023-01-30-r-basic-advanceds-variables-and-names-in-dplyr/index.html

@@ -9,17 +9,19 @@
 output:
   blogdown::html_page:
     toc: true
+images:
+  - selection-ambiguity.png
 ---
 
 
 <div id="TOC">
 <ul>
-<li><a href="#intro">Intro</a></li>
-<li><a href="#problem-1-symbols-vs.-strings-with-names">Problem 1: Symbols vs. strings with names</a></li>
-<li><a href="#problem-2-passing-column-names-as-arguments-to-custom-functions">Problem 2: Passing column names as arguments to custom functions</a></li>
-<li><a href="#problem-3-dynamic-columns-in-purrr-formulas-in-across">Problem 3: Dynamic columns in purrr formulas in <code>across</code></a></li>
-<li><a href="#summary-next-steps">Summary &amp; Next Steps</a></li>
-<li><a href="#dive-deeper-resources-for-the-curious-minds">Dive Deeper: Resources for the Curious Minds:</a></li>
+<li><a href="#intro" id="toc-intro">Intro</a></li>
+<li><a href="#problem-1-symbols-vs.-strings-with-names" id="toc-problem-1-symbols-vs.-strings-with-names">Problem 1: Symbols vs. strings with names</a></li>
+<li><a href="#problem-2-passing-column-names-as-arguments-to-custom-functions" id="toc-problem-2-passing-column-names-as-arguments-to-custom-functions">Problem 2: Passing column names as arguments to custom functions</a></li>
+<li><a href="#problem-3-dynamic-columns-in-purrr-formulas-in-across" id="toc-problem-3-dynamic-columns-in-purrr-formulas-in-across">Problem 3: Dynamic columns in purrr formulas in <code>across</code></a></li>
+<li><a href="#summary-next-steps" id="toc-summary-next-steps">Summary &amp; Next Steps</a></li>
+<li><a href="#dive-deeper-resources-for-the-curious-minds" id="toc-dive-deeper-resources-for-the-curious-minds">Dive Deeper: Resources for the Curious Minds:</a></li>
 </ul>
 </div>
 
@@ -70,15 +72,18 @@ <h2>Problem 1: Symbols vs. strings with names</h2>
 ##   # Now:
 ##   data %&gt;% select(all_of(my_variables))
 ## 
-## See &lt;https://tidyselect.r-lib.org/reference/faq-external-vector.html&gt;.</code></pre>
+## See &lt;https://tidyselect.r-lib.org/reference/faq-external-vector.html&gt;.
+## This warning is displayed once every 8 hours.
+## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
+## generated.</code></pre>
 <pre><code>##   Sepal.Length Sepal.Width
 ## 1          5.1         3.5
 ## 2          4.9         3.0
 ## 3          4.7         3.2
 ## 4          4.6         3.1
 ## 5          5.0         3.6</code></pre>
 <p>This generates a warning. Given the tidyverse’s informative error messages, it’s wise to pay heed. Directly supplying can be ambiguous – imagine having a column named <code>my_variable</code>. Which should be selected if we have both the column and the external variable?</p>
-<p><img src="images/selection-ambiguity.png" alt="Diagram showing the dillema that dplyr is faced with when we torment it with ambiguous selections." />
+<p><img src="selection-ambiguity.png" alt="Diagram showing the dillema that dplyr is faced with when we torment it with ambiguous selections." />
 To ensure clarity, dplyr authors suggest using dplyr::all_of(), which explicitly converts a name vector into symbols, resolving any ambiguities.</p>
 <pre class="r"><code>iris %&gt;%
   select(all_of(my_variables))</code></pre>