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* Make width narrower
* Convert deps to table
* Strip chapter status
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Hadley Wickham
2022-11-18 11:05:00 -06:00
parent 5895db09cd
commit 69b4597f3b
33 changed files with 784 additions and 1048 deletions
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oreilly/functions.html
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@@ -1,17 +1,5 @@
<section data-type="chapter" id="chp-functions">
<h1><span id="sec-functions" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Functions</span></span></h1><div data-type="note"><div class="callout-body d-flex">
<div class="callout-icon-container">
<i class="callout-icon"/>
</div>
</div><h1>
RStudio
</h1><p>You are reading the work-in-progress second edition of R for Data Science. This chapter should be readable but is currently undergoing final polishing. You can find the complete first edition at <a href="https://r4ds.had.co.nz" class="uri">https://r4ds.had.co.nz</a>.</p>
<p>Once you start writing functions, there are two RStudio shortcuts that are super useful:</p><ul><li><p>To find the definition of a function that you’ve written, place the cursor on the name of the function and press <code>F2</code>.</p></li>
<li><p>To quickly jump to a function, press <code>Ctrl + .</code> to open the fuzzy file and function finder and type the first few letters of your function name. You can also navigate to files, Quarto sections, and more, making it a very handy navigation tool.</p></li>
</ul></div>
<h1><span id="sec-functions" class="quarto-section-identifier d-none d-lg-block"><span class="chapter-title">Functions</span></span></h1><p>::: status callout-note You are reading the work-in-progress second edition of R for Data Science. This chapter should be readable but is currently undergoing final polishing. You can find the complete first edition at <a href="https://r4ds.had.co.nz" class="uri">https://r4ds.had.co.nz</a>. :::</p>
<section id="introduction" data-type="sect1">
<h1>
Introduction</h1>
@@ -278,9 +266,7 @@ mape &lt;- function(actual, predicted) {
</div>
<div data-type="note"><h1>
RStudio
</h1><p>You are reading the work-in-progress second edition of R for Data Science. This chapter should be readable but is currently undergoing final polishing. You can find the complete first edition at <a href="https://r4ds.had.co.nz" class="uri">https://r4ds.had.co.nz</a>.</p>
<p>Once you start writing functions, there are two RStudio shortcuts that are super useful:</p><ul><li><p>To find the definition of a function that you’ve written, place the cursor on the name of the function and press <code>F2</code>.</p></li>
</h1><p>Once you start writing functions, there are two RStudio shortcuts that are super useful:</p><ul><li><p>To find the definition of a function that you’ve written, place the cursor on the name of the function and press <code>F2</code>.</p></li>
<li><p>To quickly jump to a function, press <code>Ctrl + .</code> to open the fuzzy file and function finder and type the first few letters of your function name. You can also navigate to files, Quarto sections, and more, making it a very handy navigation tool.</p></li>
</ul></div>
@@ -490,14 +476,14 @@ flights |&gt; unique_where(tailnum == "N14228", month)
flights_sub(dest == "IAH", contains("time"))
#&gt; # A tibble: 7,198 × 8
#&gt; time_hour carrier flight dep_time sched_de…¹ arr_t…² sched…³ air_t…⁴
#&gt; &lt;dttm&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt;
#&gt; 1 2013-01-01 05:00:00 UA 1545 517 515 830 819 227
#&gt; 2 2013-01-01 05:00:00 UA 1714 533 529 850 830 227
#&gt; 3 2013-01-01 06:00:00 UA 496 623 627 933 932 229
#&gt; 4 2013-01-01 07:00:00 UA 473 728 732 1041 1038 238
#&gt; 5 2013-01-01 07:00:00 UA 1479 739 739 1104 1038 249
#&gt; 6 2013-01-01 09:00:00 UA 1220 908 908 1228 1219 233
#&gt; time_hour carrier flight dep_time sched…¹ arr_t…² sched…³ air_t…⁴
#&gt; &lt;dttm&gt; &lt;chr&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt;
#&gt; 1 2013-01-01 05:00:00 UA 1545 517 515 830 819 227
#&gt; 2 2013-01-01 05:00:00 UA 1714 533 529 850 830 227
#&gt; 3 2013-01-01 06:00:00 UA 496 623 627 933 932 229
#&gt; 4 2013-01-01 07:00:00 UA 473 728 732 1041 1038 238
#&gt; 5 2013-01-01 07:00:00 UA 1479 739 739 1104 1038 249
#&gt; 6 2013-01-01 09:00:00 UA 1220 908 908 1228 1219 233
#&gt; # … with 7,192 more rows, and abbreviated variable names ¹​sched_dep_time,
#&gt; # ²​arr_time, ³​sched_arr_time, ⁴​air_time</pre>
</div>
@@ -529,8 +515,8 @@ flights |&gt;
}
flights |&gt;
count_missing(c(year, month, day), dep_time)
#&gt; `summarise()` has grouped output by 'year', 'month'. You can override using the
#&gt; `.groups` argument.
#&gt; `summarise()` has grouped output by 'year', 'month'. You can override using
#&gt; the `.groups` argument.
#&gt; # A tibble: 365 × 4
#&gt; # Groups: year, month [12]
#&gt; year month day n_miss