#Ecological Statistics in R
Authored by Stuart Jones, University of Notre Dame, for EDAMAME 2015
EDAMAME-2015 wiki
EDAMAME tutorials have a CC-BY license. Share, adapt, and attribute please!
##Overarching Goal
- This tutorial will contribute towards understanding ecological statistics to analyze and interpret microbial sequencing data
##Learning Objectives
- Install R and R studio on a personal computer
- Understand what an R package is and how to install it
- Import, manipulate, and export data tables using R
- Differentiate data modes in R, including numeric, complex, logical, character modes
- Differentiate data structures in R, including vector, matrix/array, list, and data frame structures
- Transform and standardize community structure data
- Calculate pairwise resemblance matrices in R to summarize relationships between community structure or taxa occurrences
- Visualize community composition using ordination and clustering
- Test hypotheses about differences in community structure across samples or sites
- Identify correlations between community composition, environmental conditions, and spatial configuration of sites
- Find help and other resources for working with R
##2. Download and install R studio
##3. Download datasets for the tutorial, and move it to your Desktop. To download the old-school way, click on the file, select "Raw" and the choose File -> Save As from the menu to save with original extensions.
##Help and other resources ###R help
###Ecological statistics