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Aetos Research
Training

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“Firstly I would like to say (if I didn't already say at the time) that your introduction to statistics workshop using R was probably the best-taught workshop I've ever taken... in any subject! - Andrew”

 

Aetos Research offers face-to-face and online training workshops to individuals, companies and other organizations in the fields of ecological surveying and the statistical interpretation of ecological data*.  We offer tried-and-tested introductory, intermediate and advanced workshops in statistical analysis for ecologists which can be delivered in-person either at an Aetos Research home workshop, or at your own chosen venue by arrangement.  The next workshop on The Analysis of Ecological Data using R will be delivered face-to-face in the early summer.  Contact us to register your interest.

 

For those who prefer to study at home in their own time the same workshops are offered in a very well received online format, which allows you to work through the materials in your own time and at your own pace with full support from the Aetos Research team, including email and video conference discussion of any difficulties which arise when necessary.  This format is often more useful for people working from home, perhaps with family and other commitments, where allocating a block of time to a workshop can sometimes be difficult.  If the workshop is face-to-face it is run over two consecutive days; the online workshop takes approximately twelve hours to complete in your own time.

 

Whether face-to-face or online, Aetos Research workshops are taught through a combination of explanatory presentations, example ecological data sets and a step-by-step guide to conducting and interpreting the analyses on your own computer using the R statistical language, which is open-source freeware, and which is now the industry standard for the interpretation of ecological and other life sciences data.  These workshops will, therefore, provide you with the skills you need for the visualisation, exploratory analysis and reliable statistical interpretation of your own data.

 

It will sometimes be the case that a particular ecological project requires a more bespoke design and statistical analysis solution, and Aetos Research partners are extremely experienced at survey design on spatial scales from small and local to large and national, and this can be tailored to the exact requirements of your problem.  For more information about this aspect of our ecological design and analysis service please contact us here.

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*(Aetos Research staff are also very experienced in the design and presentation of introductory workshops in statistics for medicine, biomedical sciences, psychology and social sciences, as well as more general workshops for those who feel they would just like to broaden their general statistical knowledge.  Further information about these is given below)

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An Introduction to the Statistical Analysis of Ecological Data using the R Language

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This workshop introduces statistical analysis of ecological data using the open-source freeware statistical language R, together with the integrated development environment (IDE) R Studio, also freeware.  If you have heard that learning R is difficult please do not be apprehensive; in our experience R is as easy to learn as any other statistical package.  We assume no prior knowledge of either statistics or the R language, and the workshop begins at a very gentle pace.  By the end of the workshop, however, you will be confidently carrying out some quite sophisticated statistical analyses and understanding how to interpret and report the outcomes - we believe that the testimonials which you can read at the bottom of the page, all given freely by previous workshop participants, speak for themselves

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This workshop covers the following topics:

  • The ideas which underly modern statistical analysis in ecology

  • The use of R studio to import your data

  • The use of graphics, descriptive statistics and simple models to explore the properties of your data

  • Modelling data where all predictors are categorical – Analysis of Variance (R function aov)

  • Specifying and simplifying an aov model

  • Model checking; constancy of variance and normality in model residuals

  • Transformation of the response variable where necessary

  • Multiple comparisons and post-hoc checks in aov models

  • Modelling data where all predictors are continuous – Regression (R function lm)

  • Simple linear and multiple regression

  • Specifying and simplifying an lm model

  • Model checking

  • Clear presentation and reporting of your analyses

You can read testimonials for this workshop

Online course price: £120.00

Course materials can be accessed using the link and password sent via email upon purchase 

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