fixed some issues regarding ttcode and expressions in legend

Author: mca91

03-ch3.Rmd

@@ -221,9 +221,9 @@ curve(dnorm(x, mean = 10),
 # add a legend
 legend("topleft",
        legend = c("N(10,1)",
-                  expression(Y[1]),
-                  expression(bar(Y)[n == 5]~),
-                  expression(bar(Y)[n == 25]~)
+                  expression(Y[n == 1]),
+                  expression(bar(Y)[n == 5]),
+                  expression(bar(Y)[n == 25])
                   ), 
        lty = c(2, 1, 1, 1), 
        col = c("black","green", "steelblue", "red2"),

05-ch5.Rmd

@@ -501,7 +501,7 @@ summary(dummy_model)
 <tt>summary()</tt> reports the $p$-value of the test that the coefficient on <tt>(Intercept)</tt> is zero to to be <tt>< 2e-16</tt>. This scientific notation states that the $p$-value is smaller than $\frac{2}{10^{16}}$, so a very small number. The reason for this is that computers cannot handle arbitrary small numbers. In fact, $\frac{2}{10^{16}}$ is the smallest possble number <tt>R</tt> can work with.
 ```
 
-The vector `r ttcode("CASchools\$D")` has the type `r ttcode("logical")` (to see this, use `r ttcode("typeof(CASchools$D)")`) which is shown in the output of `r ttcode("summary(dummy_model)")`: the label `r ttcode("DTRUE")` states that all entries `r ttcode("TRUE")` are coded as `r ttcode("1")` and all entries `r ttcode("FALSE")` are coded as `r ttcode("0")`. Thus, the interpretation of the coefficient `r ttcode("DTRUE")` is as stated above for $\beta_1$.  
+The vector `r ttcode("CASchools$D")` has the type `r ttcode("logical")` (to see this, use `r ttcode("typeof(CASchools$D)")`) which is shown in the output of `r ttcode("summary(dummy_model)")`: the label `r ttcode("DTRUE")` states that all entries `r ttcode("TRUE")` are coded as `r ttcode("1")` and all entries `r ttcode("FALSE")` are coded as `r ttcode("0")`. Thus, the interpretation of the coefficient `r ttcode("DTRUE")` is as stated above for $\beta_1$.  
 
 One can see that the expected test score in districts with $STR < 20$ ($D_i = 1$) is predicted to be $650.1 + 7.17 = 657.27$ while districts with $STR \geq 20$ ($D_i = 0$) are expected to have an average test score of only $650.1$.
 

06-ch6.Rmd

@@ -391,7 +391,7 @@ mult.mod <- lm(score ~ computer + english + NS, data = CASchools)
 summary(mult.mod)                                                  
 ```
 
-Again, the output of `r ttcode("summary(mult.mod)")` tells us that inclusion of `r ttcode("NS")` in the regression would render the estimation infeasible. What happened here? This is an example where we made a logical mistake when defining the regressor `r ttcode("NS")`: taking a closer look at $NS$, the redefined measure for class size, reveals that there is not a single school with $STR<12$ hence $NS$ equals one for all observations. We can check this by printing the contents of `r ttcode("CASchools\$NS")` or by using the function `r ttcode("table()")`, see `?table`.
+Again, the output of `r ttcode("summary(mult.mod)")` tells us that inclusion of `r ttcode("NS")` in the regression would render the estimation infeasible. What happened here? This is an example where we made a logical mistake when defining the regressor `r ttcode("NS")`: taking a closer look at $NS$, the redefined measure for class size, reveals that there is not a single school with $STR<12$ hence $NS$ equals one for all observations. We can check this by printing the contents of `r ttcode("CASchools$NS")` or by using the function `r ttcode("table()")`, see `?table`.
 
 ```{r}
 table(CASchools$NS)

ITER.log

@@ -2,19 +2,19 @@ book_filename: "ITER"
 output_dir: docs
 delete_merged_file: true
 rmd_files: ["index.Rmd",
-            "02-ch2.Rmd",            
+            "02-ch2.Rmd",
             "03-ch3.Rmd",
             "04-ch4.Rmd", 
             "05-ch5.Rmd",
             "06-ch6.Rmd",
             "07-ch7.Rmd",
             "08-ch8.Rmd",
-            "09-ch9.Rmd", 
+            "09-ch9.Rmd",
             "10-ch10.Rmd",
             "11-ch11.Rmd",
             "12-ch12.Rmd",
             "13-ch13.Rmd",
             "14-ch14.Rmd",
             "15-ch15.Rmd",
-            "16-ch16.Rmd",  
+            "16-ch16.Rmd",
             "references.Rmd"]

_bookdown.yml

@@ -26,7 +26,7 @@ ttcode <- function(x, type = "tt") {
   if (outputFormat %in% c('latex', 'beamer'))
     paste0("\\texttt{", escape_latex(x), "}")
   else if (outputFormat == 'html')
-    paste0("<", type, ">", x, "</", type, ">")
+    paste0("<", type, ">", gsub("\\$", "&#36;", x), "</", type, ">")
   else
     x
 }

_bookdown_files/ITER_cache/html/unnamed-chunk-101_54d46f4b8a16d77249c6c94d1d4c84ee.RData

@@ -23,7 +23,7 @@
 <meta name="author" content="Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer" />
 
 
-<meta name="date" content="2023-06-12" />
+<meta name="date" content="2023-07-12" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -479,7 +479,7 @@ <h1><span class="header-section-number">1</span> Introduction<a href="1-introduc
 <p>Most commonly we display R code together with the generated output in code chunks. As an example, consider the following line of code presented in chunk below. It tells <tt>R</tt> to compute the number of packages available on <tt>CRAN</tt>. The code chunk is followed by the output produced.</p>
 <div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="1-introduction.html#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># check the number of R packages available on CRAN</span></span>
 <span id="cb1-2"><a href="1-introduction.html#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">nrow</span>(<span class="fu">available.packages</span>(<span class="at">repos =</span> <span class="st">&quot;http://cran.us.r-project.org&quot;</span>))</span>
-<span id="cb1-3"><a href="1-introduction.html#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 19638</span></span></code></pre></div>
+<span id="cb1-3"><a href="1-introduction.html#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 19800</span></span></code></pre></div>
 <p>Each code chunk is equipped with a button on the outer right hand side which copies the code to your clipboard. This makes it convenient to work with larger code segments in your version of <tt>R</tt>/<em>RStudio</em> or in the widgets presented throughout the book. In the widget above, you may click on <tt>R Console</tt> and type <code>nrow(available.packages(repos = "http://cran.us.r-project.org"))</code> (the command from the code chunk above) and execute it by hitting <em>Enter</em> on your keyboard.<a href="#fn2" class="footnote-ref" id="fnref2"><sup>2</sup></a></p>
 <p>Note that some lines in the widget are out-commented which ask you to assign a numeric value to a variable and then to print the variable’s content to the console. You may enter your solution approach to <tt>script.R</tt> and hit the button <em>Run</em> in order to get the feedback described further above. In case you do not know how to solve this sample exercise (don’t panic, that is probably why you are reading this), a click on <em>Hint</em> will provide you with some advice. If you still can’t find a solution, a click on <em>Solution</em> will provide you with another tab, <tt>Solution.R</tt> which contains sample solution code. It will often be the case that exercises can be solved in many different ways and <tt>Solution.R</tt> presents what we consider as comprehensible and idiomatic.</p>
 </div>

_bookdown_files/ITER_cache/html/unnamed-chunk-101_54d46f4b8a16d77249c6c94d1d4c84ee.rdb

@@ -23,7 +23,7 @@
 <meta name="author" content="Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer" />
 
 
-<meta name="date" content="2023-06-12" />
+<meta name="date" content="2023-07-12" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -466,7 +466,7 @@ <h1>
 <div id="colophon" class="section level2 hasAnchor" number="1.1">
 <h2><span class="header-section-number">1.1</span> Colophon<a href="1.1-colophon.html#colophon" class="anchor-section" aria-label="Anchor link to header"></a></h2>
 <p>This book was built with:</p>
-<pre><code>#&gt; ─ Session info ─────────────────────────────────────────────────────────────────────────────────────
+<pre><code>#&gt; ─ Session info ───────────────────────────────────────────────────────────────
 #&gt;  setting  value
 #&gt;  version  R version 4.2.3 (2023-03-15)
 #&gt;  os       macOS Ventura 13.1
@@ -476,10 +476,10 @@ <h2><span class="header-section-number">1.1</span> Colophon<a href="1.1-colophon
 #&gt;  collate  en_US.UTF-8
 #&gt;  ctype    en_US.UTF-8
 #&gt;  tz       Europe/Berlin
-#&gt;  date     2023-06-12
+#&gt;  date     2023-07-12
 #&gt;  pandoc   2.19.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)
 #&gt; 
-#&gt; ─ Packages ─────────────────────────────────────────────────────────────────────────────────────────
+#&gt; ─ Packages ───────────────────────────────────────────────────────────────────
 #&gt;  package       * version    date (UTC) lib source
 #&gt;  abind           1.4-5      2016-07-21 [1] CRAN (R 4.2.0)
 #&gt;  AER             1.2-10     2022-06-14 [1] CRAN (R 4.2.0)
@@ -659,7 +659,7 @@ <h2><span class="header-section-number">1.1</span> Colophon<a href="1.1-colophon
 #&gt; 
 #&gt;  [1] /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library
 #&gt; 
-#&gt; ────────────────────────────────────────────────────────────────────────────────────────────────────</code></pre>
+#&gt; ──────────────────────────────────────────────────────────────────────────────</code></pre>
 </div>
             </section>
 

_bookdown_files/ITER_cache/html/unnamed-chunk-101_54d46f4b8a16d77249c6c94d1d4c84ee.rdx

@@ -23,7 +23,7 @@
 <meta name="author" content="Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer" />
 
 
-<meta name="date" content="2023-06-12" />
+<meta name="date" content="2023-07-12" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
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@@ -497,7 +497,7 @@ <h4>Functions<a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#functi
 <div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># generate the vector `z`</span></span>
 <span id="cb6-2"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-2" aria-hidden="true" tabindex="-1"></a>z <span class="ot">&lt;-</span> <span class="fu">seq</span>(<span class="at">from =</span> <span class="dv">1</span>, <span class="at">to =</span> <span class="dv">5</span>, <span class="at">by =</span> <span class="dv">1</span>)</span>
 <span id="cb6-3"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-3" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb6-4"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-4" aria-hidden="true" tabindex="-1"></a><span class="co"># compute the mean of the enries in `z`</span></span>
+<span id="cb6-4"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-4" aria-hidden="true" tabindex="-1"></a><span class="co"># compute the mean of the entries in `z`</span></span>
 <span id="cb6-5"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-5" aria-hidden="true" tabindex="-1"></a><span class="fu">mean</span>(z)</span>
 <span id="cb6-6"><a href="1.2-a-very-short-introduction-to-r-and-rstudio.html#cb6-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 3</span></span></code></pre></div>
 <p>In the first line we use a function called <tt>seq()</tt> to create the exact same vector as we did in the previous section, calling it <tt>z</tt>. The function takes on the arguments <tt>from</tt>, <tt>to</tt> and <tt>by</tt> which should be self-explanatory.

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 <meta name="author" content="Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer" />
 
 
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