UWA PLUS

Data Analysis with R for Compositional Data

In this course you will learn to identify and analyse compositional data, which are usually multivariate, using the relevant packages available in the R/RStudio environment.

Compositional data, is defined as any measurements which are proportions of some whole, are common in many disciplines,
including environmental science, geography, geology, and biology.

Different types of compositional data such as concentrations, proportions, or abundances have unique mathematical properties which can lead to misleading conclusions using traditional statistical analyses.

Upon successful completion, you'll receive:

  • Two PD Points  - stackable for unspecified academic credit in award courses
  • A Certificate of Achievement
  • A UWA Plus Professional Development Transcript, listing all successfully completed micro-credentials

Delivery mode

Online
Course dates
18 July 2022 - 21 August 2022
Duration
5 weeks
Area of interest
AOS10 Agricultural, Environmental and Biological Sciences
AOS70 Research skills
AOS25 Data and Computer Science
Effort
50 hours
Cost
$660 (plus GST)
Critical information summary
ENVTM501 Data Analysis with R for Compositional Data (PDF 42KB)

 

 

What you'll learn

Demonstrate an understanding of the unique properties of multivariate compositional data such as chemical analyses, species abundances, etc.

Develop an overview of multivariate ordination methods and how to implement these in the R/RStudio environment

Use and interpret multivariate and associated methods in R/RStudio to analyse a compositional dataset

Use and interpret graphical presentation in R/RStudio to understand multivariate output

Keyboard 

Why study this course?

  • Many types of data are compositional with fixed-sum properties
  • You’ll learn why compositional data need specialised multivariate methods, and how to perform these
  • The R environment has a wide range of powerful options for analysing multivariate compositional data

Who should study this course

Environmental consultants, geochemists, scientists, and potential or current postgraduate students who want to develop their skills in analysis of compositional data and/or extend their knowledge and skills in R.

How does it work?

You will learn to identify and analyse compositional data, which are usually multivariate, using the range of packages available in the R/RStudio environment.

To be successful in this course you should have a working knowledge of R.

What's next after this course?

Future study
Other data-related micro-credentials at UWA

Apply

Applications are open.

Apply now