This week we learned about some graphic design principles, which included an example of creating an expository figure from an initial exploratory figure. Your assignment this week is to use the provided dataset to
begin by creating an exploratory figure you’d like about any aspect of the data, and
create an expository figure that builds upon your original figure.
Your figure can include some aspect of data anlysis (eg, linear regression), but there is no requirement for you to do so. You can use either base graphics or ggplot2 to complete this assignment.
Please make sure to take into consideration the concepts we discussed in class with respect to color palettes and accessibility. You may also want to consider the options that Jeff Leek used in his demonstration, but it’s not necessary that your figure contain all of the elements and styling that he included.
The data come from the {FSAdata} package, which was created by Derek Ogle as part of his book Introductory Fisheries Analysis with R. The dataset contains information on the ages (subsample), and length and mass (all fish) for male and female Siscowet Lake Trout captured at four locations in Michigan waters of Lake Superior.
A data frame with 780 observations on the following 8 variables.
locID: Locations (Blind Sucker, Deer Park, Grand Marais, Little Lake Harbor)
pnldep: Depth of gillnet panel in which the fish was captured
mesh: Gillnet stretch mesh measure
fishID: Unique fish identification code
sex: Sex (F = female; M = male)
age: Assigned ages (years)
len: Total length (mm)
wgt: Weight (g)
You are welcome to use R Markdown to complete this assignment, but if you’d rather not, I will also happily accept a combination of an .R script with your plotting code and a saved version of your figure in a format such as .png, .jpg, or .pdf. If you’d like a primer on R Markdown, click here.
Create a new repo on GitHub called Assignment-5 and populate it with a short README.md document that briefly describes your assignment.
Your repo should ultimately contain the following structure:
a folder data that includes the .csv file for the assignment
a folder figures that should include your .Rmd or .R files used for creating your figures, and any saved figures you might generate
Create a new project in RStudio from the repo you created in Task 1, and work from there to create and edit your code for cleaning and plotting the data. Make sure to commit any changes and push them up to your remote repo.
When you are finished with your assignment, create a new issue within your Assignment-5 repo that briefly describes what you’ve done, and tag Mark in the issue so he knows when you’re finished.