R-esources

A repository of resources for those who need it - Un repositorio de recursos para quienes lo necesitan

Buenas noches - Soy yo tu amigo. This repository is a resource dump of websites I find useful for all things related to what I do - biological statistics and data wrestling. I believe in open-source coding, sharing knowledge and helping others as I have been helped. So share wide and far for anyone who needs it.

GITHUB

To download and use github with RStudio https://rfortherestofus.com/2021/02/how-to-use-git-github-with-r/

General

El libro grande de R en Español https://www.bigbookofr.com/chapters/espa%C3%B1ol

The Big Book of R https://r4ds.hadley.nz/

The 10 commandments of coding by Alice Pidd: https://alicepidd.quarto.pub/10_r_commandments/

Your first step into coding? Try here, each chapter gives you a step-by-step walk-through on the process of learning a new language and becoming comfortable in RStudio.

Learning grammar: https://www.tutorialgateway.org/logical-operators-in-r/

Mastering purrr: https://www.r-bloggers.com/2024/05/mastering-purrr-from-basic-maps-to-functional-magic-in-r/?utm_source=phpList&utm_medium=email&utm_campaign=R-bloggers-weekly&utm_content=HTML#google_vignette

Learning to make apps (shiny): https://mastering-shiny.org/

_Learning to use quarto _: https://jessicabolin.quarto.pub/intro_quarto/

Spatial statistics: https://www.paulamoraga.com/book-spatial/

A website created by Prof. Chris Brown with a lot of data wrangling modelling and other resources freely available: https://www.seascapemodels.org/code.html

Introduction to Spatial Analysis in R w Dr. C Buelow et al.,: https://cabuelow.quarto.pub/r-for-mapping-and-more/#using-r-for-mapping-and-spatial-data-science

Machine learning tools for spatial packages: https://loek-rs.github.io/FOSSGIS2025-examples/

Introduction to analysing Global Fishing Watch Data: https://jflowernet.github.io/gfwr-intro/

The opportunistic database of biodiversity databases: https://docs.google.com/spreadsheets/u/0/d/1qsK1MNLsi-QjK9VptgeV2HfrB7mWUVxjZdaj_P9Qs-Y/htmlview?urp=gmail_link#

Kylie Scales lab code: https://jessicabolin.github.io/scaleslabmanualtest/

Artifical Intelligence

AI assistance in creating Shiny websites: https://shiny.posit.co/blog/posts/shiny-assistant/

Using co-pilot while coding in RStudio: https://docs.posit.co/ide/user/ide/guide/tools/copilot.html

AI powered coding with LLM and language selection: cursor.com

Statistics

https://www.statlearning.com/

Introduction to Generalised Additive Models: https://www.youtube.com/watch?v=sgw4cu8hrZM

GAMS modelling w A/Prof. Gavin Simpson: https://stats.stackexchange.com/users/1390/gavin-simpson

GAMs walk-through: https://noamross.github.io/gams-in-r-course/chapter2

Mixel models with - Ben Bolker: https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html

Bayesian statistics: https://xcelab.net/rm/

GGEffects - Fitting predictions for mixed models that include multiple interaction terms and splines: https://strengejacke.github.io/ggeffects/articles/practical_logisticmixedmodel.html

Animal movement

Acoustic Telemetry tutorial w Dr. Y. Niella / Hugo Flavio: https://www.youtube.com/watch?v=IIiKVwAQImc&list=PL8s_ozNEPs87HLqcsneZHhvh16mWlM0sY

_Continous time movement modelling: __https://ctmm.shinyapps.io/ctmmweb/

Marine biologging and data science https://oceantags.com/posts/RchivalTag_Tutorials_Part1_Histograms/

Antimotum - Argos sat tracking package from A/Prof. Ian Jonsen https://github.com/ianjonsen/aniMotum

REMORA - Connecting acoustic telemetry marine data to oceanography in Australasia (IMOS PRODUCT): https://imos-animaltracking.github.io/remora/#installation