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Segmentation and Classification of Accelerometer Data
Segmentation and classification procedures for data from the 'Activinsights GENEActiv' < https://www.activinsights.com/products/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.
Mango Solutions Training Datasets
Datasets to be used primarily in conjunction with Mango Solutions training materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN: 978-0-672-33848-9). Version 1.0-7 is largely for use with the book; however, version 1.1 has a much greater focus on use with training materials, whilst retaining compatibility with the book.
Full Factorial Breeding Analysis
We facilitate the analysis of full factorial mating designs with mixed-effects models. There are now six vignettes containing detailed examples.