Primer for archival tag data processing using R.
This report provides detailed steps for downloaded archival tag data processing in Microsoft Excel and R. Depth and temperature time series data from implanted archival tags in Greenland turbot (Reinhardtius hippoglossoides) are used as a case study. Steps outlined include formatting measurements an...
| Main Author: | |
|---|---|
| Format: | Text |
| Language: | unknown |
| Published: |
U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center.
2017
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.7289/v5/afsc-pr-2017-01 https://repository.library.noaa.gov/view/noaa/13200 |
| Summary: | This report provides detailed steps for downloaded archival tag data processing in Microsoft Excel and R. Depth and temperature time series data from implanted archival tags in Greenland turbot (Reinhardtius hippoglossoides) are used as a case study. Steps outlined include formatting measurements and standardizing units and time zones. After initial error checking in Microsoft Excel, the procedures for importing, compiling, formatting, and saving data in R are described. Instructions and R code are provided to filter the data and calculate basic metrics. Code is provided to create and save data visualizations that aid in the understanding of the data, detecting patterns, and identifying errors. |
|---|