Package: GENEAclassify 1.5.5
GENEAclassify: Segmentation and Classification of Accelerometer Data
Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://activinsights.com/technology/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.
Authors:
GENEAclassify_1.5.5.tar.gz
GENEAclassify_1.5.5.zip(r-4.5)GENEAclassify_1.5.5.zip(r-4.4)GENEAclassify_1.5.5.zip(r-4.3)
GENEAclassify_1.5.5.tgz(r-4.4-any)GENEAclassify_1.5.5.tgz(r-4.3-any)
GENEAclassify_1.5.5.tar.gz(r-4.5-noble)GENEAclassify_1.5.5.tar.gz(r-4.4-noble)
GENEAclassify_1.5.5.tgz(r-4.4-emscripten)GENEAclassify_1.5.5.tgz(r-4.3-emscripten)
GENEAclassify.pdf |GENEAclassify.html✨
GENEAclassify/json (API)
# Install 'GENEAclassify' in R: |
install.packages('GENEAclassify', repos = c('https://ai-jyc.r-universe.dev', 'https://cloud.r-project.org')) |
- TrainingData - Example Training Data set
- trainingFit - Example classification tree
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 months agofrom:e0f62e37b3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:abssumdiffchangeTimesCirDispCirKurtCirSDCirSkewCirVarclassifyGENEAcreateGENEAmodeldataImportdegreesfeaturesGENEAcountGENEAratioGENEAskewgetGENEAsegmentsimpactmeandiffMeanDirradiansremoveShortSegmentssddiffsegmentationsodstepCountersumdiffupdown
Dependencies:bitopschangepointGENEAreadlatticeMASSmmaprpartsignalzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Classification of accelorometer data | GENEAclassify-package |
Classify Data into Categories defined in an rpart GENEA fit | classifyGENEA |
Create training data decision tree model | createGENEAmodel |
Data import function | dataImport |
Find_Peaks | find_peaks |
import and segment one or more bin files. | getGENEAsegments |
Perform Segmentation on GENEActiv Accelerometer Data | segmentation |
Step Counter | stepCounter |
Example Training Data set | TrainingData |
Example classification tree | trainingFit |