Ecology, Statistics, and Data Science with R
  • Home
  • Schedule
  • R
    • About Course Content
    • Module 1: Introduction to R
    • 1.0 Course Introduction
    • 1.1 First Steps
    • 1.2 Data Wrangling
    • 1.3 Plotting
    • Module 2: Spatial Analyses
    • 2.1 Spatial Data
    • 2.2 Spatial Raster Data
    • 2.3 More Raster Data
    • Module 3: Building R packages
    • 3.1 Quickstart guide
    • Module 4: Reproducible and Interactive Research
    • 4.1 Research Reports with R markdown
    • 4.2 Version control with Github
    • 4.3 RMarkdown Tools: Interactive Presentations, Apps, Websites
  • Ecological Modeling
    • Introduction to Species Distribution Models
    • Range Models with Wallace
    • Introduction to Demography
    • Introduction to Integral Projection Models
    • Ecoinformatics Workshop
    • 0 Workshop Schedule
    • 1 (BIEN) Botanical Information and Ecology Network
    • 2 Taxonomic Name Resolution
    • 3 Accessing Plant Biodiversity Data
    • 4 A streamlined modeling workflow: Wallace
    • 5 Integrating biogeographic data
    • 6 Network Associations
    • 7 Teaching Econformatics
  • Resources
  • Show All Code
  • Hide All Code

About Course Content

Set yourself up to follow along efficiently

During class we will will work through various exercises listed in the “Contents” section above. Each activity has a link to a R script of the same material so you can easily run the code as we go through the class.

0.1 Efficient layout of your screen



logo
cc-by