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Methods of Gradient Analysis

This repository contains teaching material for the course BIOS5210 – Methods of Gradient Analysis. Course taught by prof. Rune Halvorsen at the University of Oslo. Read the general information in about_the_course.md for an introduction to the topic, learning outcomes, and what to expect.

Repository generated March 2025. Code authors include Rune Halvorsen, Adam E. Naas, Eva Lieungh

Using the code

Prerequitises: R and preferably RStudio. Start by installing R/RStudio and then download this repository (=folder with version history). When the repository is downloaded, double-click the script you want to run. That way, RStudio automatically sets the working directory to the folder containing that script.

Download this repository by either...

  1. clicking the code button above/right, downloading the zipped repository, and unzipping it to your desired folder
  2. installing Git, opening a terminal/Git Bash from your desired folder and running git clone https://github.com/geco-nhm/methods-of-gradient-analysis.git.

Contents

file explanation
/example_scripts_by_students Folder for adding student-made example scripts
/scripts_with_base_R_plotting Folder for older versions of practicals with plotting code in base R (as opposed to ggplot2 used in newer versions)
LICENSE Specifies the code license.
README.md This file, which GitHub reads as the front page for the repository.
about_the_course.md General information about the course, copied from Rune's introduction and schedule for the 2025 course.
P_GeneralScriptOrdination_25.R General script for customised ordination diagrams and related illustrations
.csv Data for practicals, as comma separated values. Real ecological dat sets.
P0-7 .R Scripts for practicals (data labs) 0 to 7.
P1_GSAtrans.xls Data transformation example with formulas, in ols Excel format.

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Data lab material for the course BIOS5210 – Methods of Gradient Analysis

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