README.md

educational 𓇼 ୭⋆｡˚ 𓆝⋆｡ *ੈ✩

𓇢𓆸˚code to share with students and friends!

best one to start with is probably test.R or randomdata.R

Packages used: r2r, readxl, ggplot2, survival, ranger, dplyr, ggfortify, survminer, ggsurvfit, car

FOLDERS ❀

• lit review = data downloaded from Web of Science search when I was looking for publications mentioning competition and facilitation in Ecology; makes a nice plot

• NorrisCenter = data from CCH2; planning to use for collection summary statistics

UNSORTED FILES ❀

• .gitignore = don't worry about this
• educational.Rproj = this is just my workspace snapshot, don't worry about this either
• hashmap.R = Mick walking me through hashmaps and using the hashmap tutorial on the package page
  • Package used: r2r
• mid.R = how to load in excel data, not csv!
  • Package used: readxl
• mid.xlsx = fake data made up to use in mid.R
• randomdata.R = randomly generated scatterplot; originally made to use as a visual aid but is quick reference for how to randomly generate some simple data
  • Package used: ggplot2,
• survcurv.R = some code walking through survival curves with Kaplan-Meier curve and Cox Proportional Hazard model examples. The descriptions and explanations aren't great on this one, I'm still working on it. following RStudio Blog tutorial by Joseph Rickert https://rviews.rstudio.com/2017/09/25/survival-analysis-with-r/
  • Packages used: survival, ranger, ggplot2, dplyr, ggfortify, survminer
• test.R = beginner code to show how to make a boxplot and do a basic ANOVA
  • Package used: ggplot2
• test.csv = made up data set showing some made up heights of 3 different genera (Clarkia, Raphanus, Trifolium) to use in test.R
• vision.R = initial exploration of the retinopathy dataset in the survival package. prep for a survival curve mini workshop I gave to ESNERR staff. Comments pretty in depth.
  • Packages used: survival, dplyr, ggplot2, ggfortify
• vision_model.R = follow up to vision.R, file used during workshop with ESNERR staff. Comments OK but leave a bit to be desired.
  • Packages used: survival, dplyr, ggplot2, ggfortify, ggsurvfit, survminer, car

Other Great R Resources ❀

• https://www.statology.org/
• https://www.bigbookofr.com/ = has a "New to R?" chapter!
• https://rforcats.net/
• SCRUBs = Santa Cruz R User Base group (UCSC folks only: see EEB email listservs)
  • check out their github here
  • and Calvin's github
• R cheatsheets (you can find these when you search for specific packages; e.g. dplyr, ggplot2)
  • ggplot2 cheatsheet
  • dplyr cheatsheet
• Greg Gilbert's Site: https://greggilbertlab.sites.ucsc.edu/teaching/rtransition/