Merge pull request #893 from datacarpentry/update-source-url

update source URL

config.yaml

@@ -27,7 +27,7 @@ life_cycle: 'stable'
 license: 'CC-BY 4.0'
 
 # Link to the source repository for this lesson
-source: 'https://github.com/datacarpentry/R-ecology-lesson-alternative'
+source: 'https://github.com/datacarpentry/R-ecology-lesson'
 
 # Default branch of your lesson
 branch: 'main'

episodes/working-with-data.Rmd

@@ -73,7 +73,7 @@ library(tidyverse)
 
 Up until this point, we have been working with the `complete_old` dataframe contained in the `ratdat` package. However, you typically won't access data from an R package; it is much more common to access data files stored somewhere on your computer. We are going to download a CSV file containing the surveys data to our computer, which we will then read into R.
 
-Click this link to download the file: <https://datacarpentry.org/R-ecology-lesson-alternative/data/cleaned/surveys_complete_77_89.csv>.
+Click this link to download the file: <https://datacarpentry.org/R-ecology-lesson/data/cleaned/surveys_complete_77_89.csv>.
 
 You will be prompted to save the file on your computer somewhere. Save it inside the `cleaned` data folder, which is in the `data` folder in your `R-Ecology-Workshop` folder. Once it's inside our project, we will be able to point R towards it.