Plotting Ocean Data With R

Tutorial for R workshop at Bigelow: April 1st and 2nd 2021

For this tutorial we're going to use some water column data from the Damariscotta River. The data spans 3 years and is at four locations along the river.

To view the tutorial, click on the plottingOceanDataWithR.md file above (not the .Rmd file).

The R script you can use to follow along with the tutorial is plottingOceanData-script.R.

The data is in the DamariscottaRiverData.csv file, in the data folder.

Before the workshop: download both the R script and the data file using the instructions below

Downloading files from GitHub

Download this file and save it in your working directory. You can download the file by:

1. Click on the file name (i.e. either DamariscottaRiverData.csv or plottingOceanData-script.R)
2. Right click on View raw (center of screen) or the Raw button (to the right)
3. Select Save link as
4. Save the file into your working directory.

Additional Information

The following information is not required for doing the workshop, but here for those interested.

Wiki

There is a Wiki that accompanies this GitHub repository (click the Wiki link on the second from top toolbar). The Wiki contains a couple of pages with more details, plus additional plotting and analysis examples.

Challenge Solutions

The tutorial contains some challenges, you can find the solutions to these in challengeSolutions.md.

R notebooks

The .Rmd files are the R notebooks that were used to write the tutorial and challenge solutions. The tutorial and challenge solution markdown files (.md) and the associated folders (which contain all the images for each file) were created by knitting the R notebooks into a github_output document. Feel free to use these notebooks as templates for creating your own.

This tutorial is based on labs for the Sea Change Semester and DamariscottaRiverData is a subset of all the collated cruise data (CTD data from a few years only).