[R-sig-genetics] 2 x multivariate stats courses (intro and more advanced)

[Oliver Hooker]

PR statistics have 2 courses on multivariate stats, an intro course (IMAE)
and a more advanced course for people with one previous experience.



These courses can be applied to any areas of community data, from gut biome
to forest ecology data.



Please feel free to share!



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ONLINE COURSE – Introduction To Multivariate Analysis In Ecology And
Evolutionary Biology (IMAE01)



https://www.prstatistics.com/course/online-course-introduction-to-multivariate-analysis-in-ecology-and-evolutionary-biology-imae01/



29 August 2022 - 31 August 2022



This community analytics course is designed for students who have recently
started their projects or researchers who are starting using the R
ecosystem. During this three-day course, we will cover the basic concepts
of multivariate analysis and their implementation in R. This course is a
complement to the PR Statistic offering allowing also beginners and
non-programmers to discover the statistical tools needed to analyze an
ecological dataset in research, natural resource management or conservation
context. This course is not geared toward any particular taxonomic group or
ecological system.

We will cover diversity indices, distance measures and multivariate
distance-based methods, clustering, classification, and ordination
techniques. We will focus on the concept of the methods and their
implementation on R using different R packages. We will use real-world
examples to implement analyses, such as describing patterns along gradients
of environmental or anthropogenic disturbances, quantifying the effects of
continuous and discrete predictors, data mining. The course will consist of
lectures, work on R code scripts, and exercises for participants.



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ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R
With The VEGAN package (VGNR04)



https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr04/



12 September 2022 - 16 September 2022



This 5-day course will cover R concepts, methods, and tools that can be
used to analyze community ecology data. The course will review data
processing techniques relevant to multivariate data sets. We will cover
diversity indices, distance measures and distance-based multivariate
methods, clustering, classification and ordination techniques using the R
package VEGAN. We will use real-world empirical data sets to motivate
analyses, such as describing patterns along gradients of environ-mental or
anthropogenic disturbances, quantifying the effects of continuous and
discrete predictors. We will emphasise visualisation and reproducible
workflows as well as good programming practices. The modules will consist
of introductory lectures, guided computer coding, and participant
exercises. The course is intended for intermediate users of R who are
interested in community ecology, particularly in the areas of terrestrial
and wetland ecology, microbial ecology, and natural resource management.
You are strongly encouraged to use your own data sets (they should be clean
and already structured, see the document: “recommendation if you
participate with your data”.



Any questions please email oliverhooker using prstatistics.com

-- 

Oliver Hooker PhD.
PR statistics

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