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  1. EE.Data::montoye_lw
    Neural networks for energy expenditure prediction
    rda| rds
    nnet.formula
  2. EE.Data::montoye_rw
    Neural networks for energy expenditure prediction
    rda| rds
    nnet.formula
  3. EE.Data::staudenmayer_lm
    Linear model and random forest for energy expenditure prediction
    rda| rds
    lm
  4. EE.Data::staudenmayer_rf
    Linear model and random forest for energy expenditure prediction
    rda| rds
    randomForest.formula
  5. Observation::example_data
    Sample data collected interactively with direct observation program.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10 x 15
  6. PAutilities::ex_data
    Example data for calculating bouts of moderate-to-vigorous physical activity
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10080 x 12
  7. Sojourn::example_data
    Sample data for exploring original and youth Sojourn methods
    csv| xlsx| json| ndjson| rda| rds
    data.frame|79989 x 11
  8. Sojourn::SIP_ag
    ActiGraph sample data for exploring Sojourns Including Posture (SIP) method.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|12257 x 5
  9. Sojourn::SIP_ap
    activPAL sample data for exploring Sojourns Including Posture (SIP) method
    csv| xlsx| json| ndjson| rda| rds
    data.frame|2538 x 6
  10. Sojourn.Data::ALL.reg.nn
    Uniaxial neural network for use in original triaxial Sojourn method
    rda| rds
    nnet.formula
  11. Sojourn.Data::cent
    Centering coefficients for uniaxial nnetinputs
    json| rda| rds
    numeric
  12. Sojourn.Data::cent.1
    Centering coefficients for triaxial nnetinputs
    json| rda| rds
    numeric
  13. Sojourn.Data::class.nnn.6
    Triaxial neural network for original Sojourn method
    rda| rds
    nnet.formula
  14. Sojourn.Data::reg.nn
    Uniaxial neural network for use in the original uniaxial Sojourn method
    rda| rds
    nnet.formula
  15. Sojourn.Data::scal
    Scaling coefficients for uniaxial nnetinputs
    json| rda| rds
    numeric
  16. Sojourn.Data::scal.1
    Scaling coefficients for triaxial nnetinputs
    json| rda| rds
    numeric
  17. Sojourn.Data::youth_grids
    Data frame containing grid values for the youth Sojourn method
    csv| xlsx| json| ndjson| rda| rds
    data.frame|4 x 14
  18. Sojourn.Data::youth_hipCounts
    Neural network for youth Sojourn method, taking activity count data from hip-worn monitors
    rda| rds
    nnet.formula
  19. Sojourn.Data::youth_hipRaw
    Neural network for youth Sojourn method, taking raw accelerometer data from hip-worn monitors
    rda| rds
    nnet.formula
  20. Sojourn.Data::youth_wristCounts
    Neural network for youth Sojourn method, taking activity count data from non-dominant-wrist-worn monitors
    rda| rds
    nnet.formula
  21. Sojourn.Data::youth_wristRaw
    Neural network for youth Sojourn method, taking raw accelerometer data from non-dominant-wrist-worn monitors
    rda| rds
    nnet.formula
  22. TwoRegression::all_data
    Two-regression-ready data frame
    csv| xlsx| json| ndjson| rda| rds
    data.frame|299 x 17
  23. TwoRegression::count_data
    Activity count data for demonstrating prior two-regression models
    csv| xlsx| json| ndjson| rda| rds
    data.frame|30 x 5
  24. TwoRegression::imu_to_check
    IMU data to check
    csv| xlsx| json| ndjson| rda| rds
    data.frame|300 x 8
  25. TwoRegression::imu_to_collapse
    IMU data to collapse
    csv| xlsx| json| ndjson| rda| rds
    data.table|1500 x 17
  26. TwoRegression::raw_for_cv
    Primary accelerometer data to calculate coefficient of variation per 10-s
    csv| xlsx| json| ndjson| rda| rds
    data.table|299 x 2
  27. TwoRegression::raw_to_collapse
    Primary accelerometer data to collapse
    csv| xlsx| json| ndjson| rda| rds
    data.table|24000 x 3