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@@ -366,13 +366,34 @@ <h1 class="title toc-ignore">Analysis of Raspberry Ketone Metabolites Using UHPL
 
 </div>
 
+  <br>
+
  <p>This work (see <a href="https://pubmed.ncbi.nlm.nih.gov/32474352/">original article</a> 
 published in J. Chroma. B) developed and validated a novel LC/MS method for raspberry ketone 
 (a natural compound with potential use for body weight control) in mice plasma and brain tissues. 
-The data analysis is performed in R, with the script and output graphics documented below. The R script has reference to the 
-<a href="https://www.tidyverse.org/">tidyverse documentation</a> and 
-<a href="https://www.databrewer.co/">DataBrewer.co</a>.</p>
+The data analysis is performed in R, with the script and output graphics documented below. </p>
 
+  <br>
+
+  <p>The R code has been developed with reference to <a href="https://r4ds.hadley.nz/">R for Data Science (2e)</a>, and the
+  official documentation of <a href="https://www.tidyverse.org/">tidyverse</a>, and <a href="https://www.databrewer.co/"><strong>DataBrewer.co</strong></a>.
+  See breakdown of modules below:</p>
+  <ul>
+  <li><p><strong>Data visualization</strong> with <strong>ggplot2</strong> (<a href="https://www.databrewer.co/R/visualization/introduction">tutorial</a>
+  of the fundamentals; and <a href="https://www.databrewer.co/R/gallery">data
+  viz. gallery</a>).</p></li>
+  <li><p><a href="https://www.databrewer.co/R/data-wrangling"><strong>Data
+  wrangling</strong> </a> with the following packages: <a href="https://www.databrewer.co/R/data-wrangling/tidyr/introduction"><strong>tidyr</strong></a>,
+  transform (e.g., pivoting) the dataset into tidy structure; <a href="https://www.databrewer.co/R/data-wrangling/dplyr/0-introduction"><strong>dplyr</strong></a>,
+  the basic tools to work with data frames; <a href="https://www.databrewer.co/R/data-wrangling/stringr/0-introduction"><strong>stringr</strong></a>,
+  work with strings; <a href="https://www.databrewer.co/R/data-wrangling/regular-expression/0-introduction"><strong>regular
+  expression</strong></a>: search and match a string pattern; <a href="https://www.databrewer.co/R/data-wrangling/purrr/introduction"><strong>purrr</strong></a>,
+  functional programming (e.g., iterating functions across elements of
+  columns); and <a href="https://www.databrewer.co/R/data-wrangling/tibble/introduction"><strong>tibble</strong></a>,
+  work with data frames in the modern tibble structure.</p></li>
+  </ul>
+
+<br>
 
 <pre class="r"><code>library(readxl)
 library(tidyverse)