Update demo info for DC R Ecology

episodes/12-homework.md

@@ -41,9 +41,9 @@ To prepare for our next session, please:
   - Data Carpentry   
     - [Exploring Data with OpenRefine](https://datacarpentry.org/OpenRefine-ecology-lesson/03-exploring-data.html)
     - [Basic Queries in SQL](https://datacarpentry.org/sql-ecology-lesson/01-sql-basic-queries.html)
-    - [Starting with Data in R](https://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html)
     - [Starting with Data in Python](https://datacarpentry.org/python-ecology-lesson/02-starting-with-data.html)
     - [Dates as Data in Excel](https://datacarpentry.org/spreadsheet-ecology-lesson/03-dates-as-data.html)
+    - [Exploring and Understanding Data in R](https://datacarpentry.org/R-ecology-lesson/how-r-thinks-about-data.html)
   - Library Carpentry    
     - [Working with Files and Directories in the Unix Shell](https://librarycarpentry.github.io/lc-shell/03-working-with-files-and-folders.html)
     - [Faceting and filtering in Open Refine](https://librarycarpentry.github.io/lc-open-refine/04-faceting-and-filtering.html)

learners/demo_lessons.md

@@ -66,10 +66,19 @@ Use the links below to jump to the starting points information for a particular
 |---------- |--------------- |--------------- |------------------------- |
 | [Data Organization in Spreadsheets](https://datacarpentry.org/spreadsheet-ecology-lesson/index.html) | \* [Dates as Data](https://datacarpentry.org/spreadsheet-ecology-lesson/03-dates-as-data.html)<br/> \* [Quality Control](https://datacarpentry.org/spreadsheet-ecology-lesson/04-quality-control.html) | \* [Introduction](https://datacarpentry.org/spreadsheet-ecology-lesson/00-intro.html)<br/> \* [Formatting Data Tables in Spreadsheets](https://datacarpentry.org/spreadsheet-ecology-lesson/01-format-data.html)<br/> \* [Formatting problems](https://datacarpentry.org/spreadsheet-ecology-lesson/02-common-mistakes.html)<br/> \* [Exporting data](https://datacarpentry.org/spreadsheet-ecology-lesson/05-exporting-data.html) |  |
 | [Data Cleaning with OpenRefine](https://datacarpentry.org/OpenRefine-ecology-lesson/index.html) |  \* [Exploring Data with OpenRefine](https://datacarpentry.org/OpenRefine-ecology-lesson/03-exploring-data.html) | \* [Introduction](https://datacarpentry.org/OpenRefine-ecology-lesson/01-getting-started.html) | The other episodes depend on actions taken earlier in the lesson - consult [_Teaching Episodes with Dependencies_](#dependencies). |
-| [Data Analysis and Visualization in R](https://datacarpentry.org/R-ecology-lesson/index.html) |  \* [Introduction to R](https://datacarpentry.org/R-ecology-lesson/01-intro-to-r.html)<br/>\* [Starting with Data](https://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html) | \* [Before We Start](https://www.datacarpentry.org/R-ecology-lesson/00-before-we-start.html) | [Manipulating Data](https://datacarpentry.org/R-ecology-lesson/03-dplyr.html) and [Data Visualization with ggplot2](https://datacarpentry.org/R-ecology-lesson/04-visualization-ggplot2.html) depend on actions taken earlier in the lesson - consult [_Teaching Episodes with Dependencies_](#dependencies). |
+| [Data Analysis and Visualization in R](https://datacarpentry.org/R-ecology-lesson/index.html) |  \* [Data Visualization with ggplot2](https://datacarpentry.org/R-ecology-lesson/visualizing-ggplot.html)<br/> \* [Exploring and Understanding Data](https://datacarpentry.org/R-ecology-lesson/how-r-thinks-about-data.html) | \* [Introduction to R and RStudio](https://datacarpentry.org/R-ecology-lesson/introduction-r-rstudio.html) |  [Working with Data](https://datacarpentry.org/R-ecology-lesson/working-with-data.html) depends on actions taken earlier in the lesson - consult [_Teaching Episodes with Dependencies_](#dependencies). |
 | [Data Management with SQL](https://www.datacarpentry.org/sql-ecology-lesson/index.html) | \* [Accessing Data With Queries](https://datacarpentry.org/sql-ecology-lesson/01-sql-basic-queries.html)<br/>\* [Aggregating and Grouping Data](https://datacarpentry.org/sql-ecology-lesson/02-sql-aggregation.html)<br/>\* [Combining Data With Joins](https://datacarpentry.org/sql-ecology-lesson/03-sql-joins.html) | \* [Databases using SQL](https://datacarpentry.github.io/sql-ecology-lesson/00-sql-introduction.html) |  |
 | [Data Analysis and Visualization in Python](https://www.datacarpentry.org/python-ecology-lesson/index.html) |  \* [Short Introduction to Programming](https://datacarpentry.org/python-ecology-lesson/01-short-introduction-to-Python.html)<br/> \* [Starting with Data](https://datacarpentry.org/python-ecology-lesson/02-starting-with-data.html)<br/> \* [Indexing, Slicing, and Subsetting](https://datacarpentry.org/python-ecology-lesson/03-index-slice-subset.html)<br/> \* [Data Types and Formats](https://datacarpentry.org/python-ecology-lesson/04-data-types-and-format.html)<br/> \* [Combining DataFrames with Pandas](https://datacarpentry.org/python-ecology-lesson/05-merging-data.html)<br/> \* [Data Workflows and Automation](https://datacarpentry.org/python-ecology-lesson/06-loops-and-functions.html) | \* [Before we Start](https://datacarpentry.org/python-ecology-lesson/00-before-we-start.html) | The other episodes depend on actions taken earlier in the lesson - consult [_Teaching Episodes with Dependencies_](#dependencies). |
 
+::::::::::::::::::::::::::::::::::::: instructor
+
+The following is no longer recommended for new trainees, but is eligible for trainees who have previously registered for it: 
+
+|  Lesson   | Recommended Episodes | [**Not Eligible for Demos**](#ineligible) | Notes
+|---------- |--------------- |--------------- |------------------------- |
+| [Data Analysis and Visualization in R](https://tobyhodges.github.io/R-ecology-lesson-previous/) |  \* [Introduction to R](https://tobyhodges.github.io/R-ecology-lesson-previous/01-intro-to-r.html)<br/>\* [Starting with Data](https://tobyhodges.github.io/R-ecology-lesson-previous/02-starting-with-data.html) | \* [Before We Start](https://tobyhodges.github.io/R-ecology-lesson-previous/00-before-we-start.html) | [Manipulating Data](https://tobyhodges.github.io/R-ecology-lesson-previous/03-dplyr.html) and [Data Visualization with ggplot2](https://tobyhodges.github.io/R-ecology-lesson-previous/04-visualization-ggplot2.html) depend on actions taken earlier in the lesson - consult [_Teaching Episodes with Dependencies_](#dependencies). |
+
+:::::::::::::::::::::::::::::::::::::
 
 ### Data Carpentry: Genomics {#dc-genomics}
 

learners/setup.md

@@ -48,9 +48,9 @@ If you are having trouble choosing an episode, we recommend choosing one of the
  - Data Carpentry   
     - [Exploring Data with OpenRefine](https://datacarpentry.org/OpenRefine-ecology-lesson/03-exploring-data.html)
     - [Basic Queries in SQL](https://datacarpentry.org/sql-ecology-lesson/01-sql-basic-queries.html)
-    - [Starting with Data in R](https://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html)
     - [Starting with Data in Python](https://datacarpentry.org/python-ecology-lesson/02-starting-with-data.html)
     - [Dates as Data in Excel](https://datacarpentry.org/spreadsheet-ecology-lesson/03-dates-as-data.html)
+    - [Exploring and Understanding Data in R](https://datacarpentry.org/R-ecology-lesson/how-r-thinks-about-data.html)
   - Library Carpentry    
     - [Working with Files and Directories in the Unix Shell](https://librarycarpentry.github.io/lc-shell/03-working-with-files-and-folders.html)
     - [Faceting and filtering in Open Refine](https://librarycarpentry.github.io/lc-open-refine/04-faceting-and-filtering.html)