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Week 5: Nesting and Modelling

Goals

This week you will be working with a new dataset, some water quality data retrieved using the dataRetrieval R package. The first lesson works through importing and cleaning/tidying this data, and the second lesson dives into trend analysis and how you can nest() your data to apply a trend model to numerous sites and parameters all at once.

Assignment

Remember to first Fork this repository and then clone your forked repo, and save copies of each .Rmd with your name appended to the file name. There are two lesson plans that must be completed for this week's assignment, in order:

  1. 01_Tidying_WQ_data.Rmd -- No videos!
  2. 02_Modelling_WQ_data.Rmd -- Video 1 + Video 2

Submission:

To submit your assignment, remember to push all your file edits to GitHub and then submit a pull request by clicking 'Contribute' -> 'Open a Pull Request' from the homepage of your forked repo. The two assignments above are due by the end of the day Monday 11/20.

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