more formatting etc

MonkmanMH · May 11, 2019 · 9a15ba7 · 9a15ba7
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diff --git a/02_data_science_defined.Rmd b/02_data_science_defined.Rmd
@@ -43,11 +43,22 @@ Steph de Silva and John Ormerod, [The Bayesian and The Frequentist](https://www.
 
 
 
-### R
+### R Release Names
+
+"All of the release names are references to Peanuts strips/films." 
 
 Lucy D'Agostino McGowan, 2017-07-28, [R release names](https://livefreeordichotomize.com/2017/09/28/r-release-names/)
 
-* update: v. 3.5.2 ["Eggshell Igloos"](https://www.gocomics.com/peanuts/1960/01/25) 
+
+Releases since 2017-07-28:
+
+* R 3.5.2 ["Eggshell Igloos"](https://www.gocomics.com/peanuts/1960/01/25) (original strip: 1960-01-25)
+
+* R 3.5.3 ["Great Truth"](https://www.gocomics.com/peanuts/1959/03/11) (original strip: 1959-03-11)
+
+* R 3.6.0 ["Planting of a Tree"](https://www.gocomics.com/peanuts/1963/03/03) (original strip: 1963-03-03)
+
+(Another source for the strips is the [peanuts.fandom.com comics archive](https://peanuts.fandom.com/wiki/Category:Comic_strips))
 
 
 ### Using R for Data Science

diff --git a/03_data_science_practice.Rmd b/03_data_science_practice.Rmd
@@ -103,12 +103,27 @@ An over-arching structure of what a project could (or should?) look like can be
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 
-#### `janitor` package
+### R packages supporting robust workflow
 
-* [**janitor**](sfirke.github.io/janitor/index.html) -- "has simple functions for examining and cleaning dirty data. It was built with beginning and intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff."
+#### {janitor}
 
+* [{janitor}](sfirke.github.io/janitor/index.html) -- "has simple functions for examining and cleaning dirty data. It was built with beginning and intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff."
 
-#### `packrat` package
+CRAN: [janitor: Simple Tools for Examining and Cleaning Dirty Data](https://cran.r-project.org/web/packages/janitor/index.html)
+
+GitHub: [sfirke/janitor](https://github.com/sfirke/janitor)
+
+
+#### {packrat}
+
+* [Packrat is a dependency management system for R](http://rstudio.github.io/packrat/)
+
+
+CRAN: [packrat: A Dependency Management System for Projects and their R Package Dependencies](https://cran.r-project.org/web/packages/packrat/index.html)
+
+GitHub: [rstudio/packrat](https://github.com/rstudio/packrat)
+
+** Articles**
 
 * Miles McBain (2019-04-09) [A workflow for lightweight R dependency management](https://milesmcbain.xyz/packrat-lite/)