GENEAclassify: 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.

Package details

AuthorChris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut, cre], Activinsights Ltd [cph]
MaintainerCharles Sweetland <[email protected]>
LicenseGPL
Version1.4.16
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GENEAclassify")

Try the GENEAclassify package in your browser

Any scripts or data that you put into this service are public.

GENEAclassify documentation built on Nov. 16, 2018, 5:04 p.m.