Christopher J. Greyson-Gaito*1,:heavy_plus_sign:, Timothy J. Bartley1,2,:heavy_plus_sign:, Karl Cottenie1,:heavy_plus_sign:, William Jarvis3,:heavy_plus_sign:, Amy E.M. Newman1,:heavy_plus_sign:, Mason R. Stothart4,:heavy_plus_sign:
*Corresponding author - christopher@greyson-gaito.com
- University of Guelph, Department of Integrative Biology, Guelph, ON, Canada
- University of Toronto Mississauga, Mississauga, ON, Canada
- University of Ottawa, Department of Biology, Ottawa, ON,Canada
- University of Calgary, Calgary, AB, Canada
➕ All authors contributed equally
- data
- EcoRealTable_2019-10-09_Data.csv
- figs
- 2019-10-09 CountAnimals.pdf – Figure 2 in manuscript
- 2019-10-09 Eco-realityComparisons.pdf – Figure 3 in manuscript
- 2019-10-09 Eco-realityAverageStandardOverTime.pdf – Figure 4 in manuscript
- 2019-10-09 CumulativeSumArticles.pdf – Supporting Information Figure 1
- .gitignore – File containing files or folders that git should ignore
- IntotheWild_Microbiome_Greyson-Gaito_etal_2019.R – R script for analysis and figure creation
- GreysonGaitoetal_Intothewild_SupportingInformation.pdf – Supporting information (search terms, ordinal data scales, figure)
- LICENSE – Mozilla Public License 2.0
- README.md – Important information
- meta_transplant_microbiome.Rproj – R Project to increase ease of use
- Download the whole repository (either by forking and cloning or by downloading a ZIP folder)
- In RStudio, open the project called meta_transplant_microbiome.Rproj and open the file Intothewild_Microbiome_Greyson-Gaito_etal_2019.R
- If not using RStudio, open the file Intothewild_Microbiome_Greyson-Gaito_etal_2019.R and edit the path to the data file called EcoRealTable_2019-10-09_Data.csv to whatever path is required on your computer.
- Run the script in RStudio or however you normally run R scripts.
See SupportingInformation_Intothewild_GreysonGaitoetal.pdf