save R plots to images/R/

12-IntroCategorical.Rmd

@@ -203,7 +203,7 @@ Binary variables have only 1 threshold that splits a normal distribution into 2
 
 In either case, the threshold is the same distance from the LRV's mean, as depicted in Figure \@ref(fig:fig12-1) below.
 
-```{r plot binary, echo=FALSE, label="fig12-1", fig.cap="One threshold divides a normal distribution into two categories."}
+```{r plot binary, echo=FALSE, label="fig12-1", fig.cap="One threshold divides a normal distribution into two categories.", fig.path='images/R/'}
 opar <- par(mfrow = 1:2, mar = c(4, 1, 1, 1))
 
 ## Fixed intercept, estimated threshold
@@ -264,7 +264,7 @@ The LRV for `intention` can be interpreted as the degree to which someone intend
 
 Figure \@ref(fig:fig12-2) below visualizes the "classification rules" above.
 
-```{r plot poly, echo=FALSE, label="fig12-2", fig.cap="Three thresholds divide a normal distribution into four categories."}
+```{r plot poly, echo=FALSE, label="fig12-2", fig.cap="Three thresholds divide a normal distribution into four categories.", fig.path='images/R/'}
 opar <- par(mfrow = c(1,1), mar = c(4, 1, 1, 1))
 
 ## Fixed intercept, estimated threshold

USEME.md

@@ -18,6 +18,7 @@ Rstudio then proceeds to Merge and Knit (or Knit and Merge, depending on the con
 - TikZ and/or latex chunks
     - R chunk with {engine='tikz', fig.path='images/tikz/'}
     - see Ch 12 & 27 examples
+    - Save standard R plots to fig.path='images/R/'
 - headings structure
 - chunk labels
 - 

docs/ch12.html

@@ -788,7 +788,7 @@ <h2><span class="header-section-number">12.3</span> Latent Response Variable<a h
 </ul>
 <p>In either case, the threshold is the same distance from the LRV’s mean, as depicted in Figure <a href="ch12.html#fig:fig12-1">12.1</a> below.</p>
 <div class="figure"><span style="display:block;" id="fig:fig12-1"></span>
-<img src="_main_files/figure-html/fig12-1-1.png" alt="One threshold divides a normal distribution into two categories." width="672" />
+<img src="images/R/fig12-1-1.png" alt="One threshold divides a normal distribution into two categories." width="672" />
 <p class="caption">
 Figure 12.1: One threshold divides a normal distribution into two categories.
 </p>
@@ -837,7 +837,7 @@ <h3><span class="header-section-number">12.3.1</span> Ordinal Outcomes<a href="c
 </ol>
 <p>Figure <a href="ch12.html#fig:fig12-2">12.2</a> below visualizes the “classification rules” above.</p>
 <div class="figure"><span style="display:block;" id="fig:fig12-2"></span>
-<img src="_main_files/figure-html/fig12-2-1.png" alt="Three thresholds divide a normal distribution into four categories." width="672" />
+<img src="images/R/fig12-2-1.png" alt="Three thresholds divide a normal distribution into four categories." width="672" />
 <p class="caption">
 Figure 12.2: Three thresholds divide a normal distribution into four categories.
 </p>