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Mar 4 at 16:14 history edited Stefan CC BY-SA 4.0
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Mar 3 at 2:46 comment added Stefan @BAE In general and for most statistical software packages you want to the data in the "long" format, that means that each row represents a unique observation. See chapter "Data tidying" in R for Data Science r4ds.hadley.nz/data-tidy.html This book is a very good introduction in doing data science in R using the tidyverse approach. The book can be read online for free.
Mar 2 at 19:01 comment added BAE since I don't use R I will have to consult with some of my R-using colleagues or grad students in my department. What format will the data need to be in? My data is in Excel worksheets. In one format, data for each individual CO on a particular date is represented in a row with columns for year, date, CO number, CO material type, and number of animals (0 or greater) for each of the three species. I also have a worksheet version in which the count values are converted to presence/absence instead (Yes or No).
Mar 2 at 18:41 vote accept BAE
Mar 2 at 17:26 history edited Stefan CC BY-SA 4.0
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Mar 2 at 17:18 history edited Stefan CC BY-SA 4.0
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Mar 2 at 17:08 history edited Stefan CC BY-SA 4.0
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Mar 2 at 17:00 history answered Stefan CC BY-SA 4.0