teaching

I also have another GitHub Pages website “R for Environmental Science” which is solely dedicated to teaching R in the context of Environmental Science.

 

Code and other resources used for teaching R and other subjects

Key:  Undergraduate level   |    Postgraduate level

code for teaching

•  what is R and why use it?
• R and RStudio for absolute beginners
•  R basics
• reading from csv files and creating graphs and simple tables in R
• see also  more graphs in R
•  distributions and transformations
• inspecting distributions and performing tests of normality
•  comparing means
• a double session on using conventional (parametric) and non-parametric statistical tests, with pairwise comparisons
•  exploring relationships
• a double session on correlation and regression in R
•  showing data on maps in R
• tile-based maps from the maptiles and ggmap packages (and so on)
•  geostatstics: maps, spatial autocorrelation, kriging
• spatial data analysis based on sf, spdep, gstat packages (and others)
•  analysing eDNA data
• basic multivariate analysis using the vegan package
•  analysing time series data
• introduction to time series analysis using the zoo, xts, forecast and other packages
•  introduction to compositional data analysis
• starting to understand data with fixed-sum closure
• principal components analysis for compositional data


• multivariate analysis of data with fixed-sum closure

 

other

•  Decision tree for means comparisons 
• how to choose mean comparison and post-hoc pairwise tests
•  EDA workflow diagram 
• My spin on the exploratory data analysis workflow
•  Flow chart for common statistical tests 
• slightly modified from a flow chart available all over the internet
•  
• and other non-R-code stuff
• 

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