Agenda

R for Environmental Data Analysis


Day 1

Morning |

Blast off!

  1. Install and update R
  2. Introductions
  3. Why open source?
    • Why R?
  4. Start a new R project
    • Create an R script
  5. Tour RStudio
  6. Create objects & store values
    • Variables, names, and lists
  7. Make data tables (tibbles)
  8. Add R packages
  9. Read data into R
    • readr for text files
    • readxl for Excel files

R-packages: readr, readxl, janitor

Afternoon |

Explore the data

  1. Plot the data with ggplot2
  2. Explore the data
    • Column names, rows,
    • Data types, Missing values
    • Mean, max, min
  3. Working with dates
  4. Arrange, sort, and filter
  5. Add new columns
  6. Summarize each group
    • Summary by each Site ID
  7. Plot finale
    • Time series
    • Wind roses
    • Calendar heat maps
  8. Saving and sharing data & methods

R-packages: dplyr, ggplot2, lubridate


agenda