FW 599: An introduction to data management and R for Fisheries and Wildlife applications--- a lighthearted look
Data management and analyses may be serious issues,
learning about them doesn’t have to be...
This site is intended to be a repository of materials from previous courses including example code and other materials to help provide Fisheries and Wildlife students and professionals with an understanding of basic data management and analytical skills. Our philosophy– your access to information shouldn’t end with your degree.
Instructor*
Jim Peterson
176 Nash Hall email
Meeting Periods: Monday 1:00-2:20 p.m. Strand Agricultural Hall 363
2023 Syllabus with the answers to all your burning grading questions
Schedule Fall 2023
Week 1:
The R environment, directories, libraries, reading, writing, and working cross platforms
……………… the battle for middle Rrrr-th begins
Week 2:
Databases: types, formats, and practical considerations
Zzzzzzz….wake-up! This stuff could make your graduate life easier… and maybe better
Week 3:
R objects, attributes and working with data.frames, vectors, matrices, and lists
You’ve got class!…when coercion is a good thing
Week 4:
Selecting and subsetting data, appending, merging, sorting and duplicating fun
Week 5:
More data tricks– working with dates, for-loops and if-else
Speedy says… learn vector and matrix operators for optimal performance
Week 6:
How do I love R, let me count the ways– counts, means, sums, ranks, and related information
Week 7:
Conjunction-junction.. what’s a function? — Creating and working with R functions
Week 8:
R graphics– how to make your data look pretty…
….even when they aren’t
Week 9:
Statistical analysis with R — the “for the faint-of-heart” edition
Week 10:
R Markdown
Bonus Lesson:
Basic ecological simulation
— Hey mom, I’m an ecological modeler!
Important Links:
Related courses:
*Many thanks to Mike Colvin of US Geological Survey for providing much of this material.