Assessing River Herring Migration Using Nonparametric Analysis
Author(s): Timothy Owen
792 total view(s), 802 download(s)
Summary:
In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric analysis, and data visualization in R Studio.
Contents:
DailyCounts_20.xlsx(XLSX | 10 KB)
RHerringBackground.mp4(MP4 | 135 MB)
RHerringBackground_Instructor.docx(DOCX | 5 MB)
RHerringBackground_Instructor.pdf(PDF | 1 MB)- RHerringBackground_Student.docx(DOCX | 5 MB)
- RHerringBackground_Student.pdf(PDF | 1 MB)
RHerringLesson.html(HTML | 963 KB)
RHerringLesson.Rmd(RMD | 17 KB)- TrapDataV2.xlsx(XLSX | 14 KB)
- License terms
Supporting Docs
- DailyCounts_20.xlsx(XLSX | 10 KB)
- RHerringBackground.mp4(MP4 | 135 MB)
- RHerringBackground_Instructor.docx(DOCX | 5 MB)
- RHerringBackground_Instructor.pdf(PDF | 1 MB)
- RHerringBackground_Student.docx(DOCX | 5 MB)
- RHerringBackground_Student.pdf(PDF | 1 MB)
- RHerringLesson.html(HTML | 963 KB)
- RHerringLesson.Rmd(RMD | 17 KB)
- TrapDataV2.xlsx(XLSX | 14 KB)