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Myuna Bay Sport and Recreation

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Wangi Road,
Myuna Bay,, New South Wales 2264 Australia
07966500340 www.prstatistics.com

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May 2019
£240.00 - £500.00

Introduction to statistics and R for everyone (IRFE02)

17 May 2019 - 20 May 2019
Myuna Bay Sport and Recreation, Wangi Road,
Myuna Bay,, New South Wales 2264 Australia

Course Overview: This course will provide attendees with the opportunity to learn how (a) to understand and read modern statistics reported in scientific studies, (b) use basic modern statistics for analysing their own data, using the open access R statistical software. The course will focus more on data deriving from life sciences namely medicine, biology, and ecology. The course will initially revise basic statistical knowledge of what is a sample and a distribution, and what is hypothesis testing. Sequentially, attendees…

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£300.00 - £600.00

Model-based multivariate analysis of abundance data using R (MBMV03)

20 May 2019 - 24 May 2019
Myuna Bay Sport and Recreation, Wangi Road,
Myuna Bay,, New South Wales 2264 Australia

Course Overview: This course will provide an introduction to modern multivariate techniques, with a special focus on the analysis of abundance or presence/absence data. Multivariate analysis in ecology has been changing rapidly in recent years, with a focus now on formulating a statistical model to capture key properties of the observed data, rather than transformation of data using a dissimilarity-based framework. In recent years, model-based techniques have been developed for hypothesis testing, identifying indicator species, ordination, clustering, predictive modelling, and…

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£240 - £480.00

Statistical toolkit for ecologists (STKE01)

21 May 2019 - 24 May 2019
Myuna Bay Sport and Recreation, Wangi Road,
Myuna Bay,, New South Wales 2264 Australia

Course Overview: This course will cover advanced statistics regarding the analysis of data using comprehensive and state-of-the-art techniques. All methods will be illustrated using the free, open-source software package R. The course is designed for attendees that have a basic knowledge of R and elementary statistics and wish to advance this to up-to-date journal publication or conference proceedings standards. The course will cover mixed effects models, model selection and multi-model inference, generalized linear models (i.e. analysis of non-normally distributed datasets),…

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