re-render rsample post (#729)

Author: hfrick

content/blog/rsample-1-3-0/index.md

@@ -178,20 +178,20 @@ Now we have everything we need to calculate the confidence intervals, stashed in
 
 <pre class='chroma'><code class='language-r' data-lang='r'><span><span class='nv'>item_ci</span> <span class='o'>&lt;-</span> <span class='nf'><a href='https://rsample.tidymodels.org/reference/int_pctl.html'>int_pctl</a></span><span class='o'>(</span><span class='nv'>item_stats</span>, statistics <span class='o'>=</span> <span class='nv'>stats</span>, alpha <span class='o'>=</span> <span class='m'>0.1</span><span class='o'>)</span></span>
 <span><span class='nv'>item_ci</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'># A tibble: 27 × 6</span></span></span>
-<span><span class='c'>#&gt;    term    .lower .estimate .upper .alpha .method   </span></span>
-<span><span class='c'>#&gt;    <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span>    <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>     <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>  <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>  <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span> <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span>     </span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 1</span> item_01  1.04       1.07   1.10    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 2</span> item_02  0.999      1.02   1.03    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 3</span> item_03  0.974      1.01   1.03    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 4</span> item_04  0.991      1.01   1.03    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 5</span> item_05  0.984      1.00   1.02    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 6</span> item_06  0.996      1.02   1.05    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 7</span> item_07  0.992      1.02   1.04    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 8</span> item_08  0.993      1.01   1.03    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 9</span> item_09  0.996      1.01   1.03    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'>10</span> item_10  1.04       1.06   1.09    0.1 percentile</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'># ℹ 17 more rows</span></span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'># A tibble: 54 × 7</span></span></span>
+<span><span class='c'>#&gt;    term    .weekend .lower .estimate .upper .alpha .method   </span></span>
+<span><span class='c'>#&gt;    <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span>   <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span>     <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>     <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>  <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span>  <span style='color: #555555; font-style: italic;'>&lt;dbl&gt;</span> <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span>     </span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 1</span> item_01 weekday   1.05      1.07    1.09    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 2</span> item_01 weekend   1.04      1.07    1.10    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 3</span> item_02 weekday   1.00      1.02    1.03    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 4</span> item_02 weekend   0.996     1.01    1.03    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 5</span> item_03 weekday   1.01      1.02    1.04    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 6</span> item_03 weekend   0.970     0.990   1.01    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 7</span> item_04 weekday   0.989     1.00    1.02    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 8</span> item_04 weekend   0.998     1.02    1.03    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'> 9</span> item_05 weekday   0.987     1.00    1.02    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'>10</span> item_05 weekend   0.982     1.00    1.03    0.1 percentile</span></span>
+<span><span class='c'>#&gt; <span style='color: #555555;'># ℹ 44 more rows</span></span></span>
 <span></span></code></pre>
 
 </div>
@@ -209,21 +209,11 @@ It was possible, however, to create implicit LOO samples by using [`vfold_cv()`]
 <div class="highlight">
 
 <pre class='chroma'><code class='language-r' data-lang='r'><span><span class='nf'><a href='https://rsample.tidymodels.org/reference/vfold_cv.html'>vfold_cv</a></span><span class='o'>(</span><span class='nv'>mtcars</span>, v <span class='o'>=</span> <span class='nf'><a href='https://rdrr.io/r/base/nrow.html'>nrow</a></span><span class='o'>(</span><span class='nv'>mtcars</span><span class='o'>)</span><span class='o'>)</span></span>
-<span><span class='c'>#&gt; #  32-fold cross-validation </span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'># A tibble: 32 × 2</span></span></span>
-<span><span class='c'>#&gt;    splits         id    </span></span>
-<span><span class='c'>#&gt;    <span style='color: #555555; font-style: italic;'>&lt;list&gt;</span>         <span style='color: #555555; font-style: italic;'>&lt;chr&gt;</span> </span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 1</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold01</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 2</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold02</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 3</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold03</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 4</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold04</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 5</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold05</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 6</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold06</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 7</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold07</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 8</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold08</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'> 9</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold09</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'>10</span> <span style='color: #555555;'>&lt;split [31/1]&gt;</span> Fold10</span></span>
-<span><span class='c'>#&gt; <span style='color: #555555;'># ℹ 22 more rows</span></span></span>
+<span><span class='c'>#&gt; <span style='color: #BBBB00; font-weight: bold;'>Error</span><span style='font-weight: bold;'> in `vfold_cv()`:</span></span></span>
+<span><span class='c'>#&gt; <span style='color: #BBBB00;'>!</span> Leave-one-out cross-validation is not supported by this function.</span></span>
+<span><span class='c'>#&gt; <span style='color: #BB0000;'>✖</span> You set `v` to `nrow(data)`, which would result in a leave-one-out</span></span>
+<span><span class='c'>#&gt;   cross-validation.</span></span>
+<span><span class='c'>#&gt; <span style='color: #00BBBB;'>ℹ</span> Use `loo_cv()` in this case.</span></span>
 <span></span></code></pre>
 
 </div>
@@ -238,7 +228,10 @@ For some error messages, the additional functionality in cli makes it easy to im
 
 <pre class='chroma'><code class='language-r' data-lang='r'><span><span class='nf'><a href='https://rsample.tidymodels.org/reference/permutations.html'>permutations</a></span><span class='o'>(</span><span class='nv'>mtcars</span>, <span class='nf'><a href='https://tidyselect.r-lib.org/reference/everything.html'>everything</a></span><span class='o'>(</span><span class='o'>)</span><span class='o'>)</span></span>
 <span><span class='c'>#&gt; <span style='color: #BBBB00; font-weight: bold;'>Error</span><span style='font-weight: bold;'> in `permutations()`:</span></span></span>
-<span><span class='c'>#&gt; <span style='color: #BBBB00;'>!</span> You have selected all columns to permute. This effectively reorders the rows in the original data without changing the data structure. Please select fewer columns to permute.</span></span>
+<span><span class='c'>#&gt; <span style='color: #BBBB00;'>!</span> You have selected all columns to permute.</span></span>
+<span><span class='c'>#&gt; <span style='color: #00BBBB;'>ℹ</span> This effectively reorders the rows in the original data without changing the</span></span>
+<span><span class='c'>#&gt;   data structure.</span></span>
+<span><span class='c'>#&gt; → Please select fewer columns to permute.</span></span>
 <span></span></code></pre>
 
 </div>