1. Observation::example_data
    Sample data collected interactively with direct observation program.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10 x 15
  2. Sojourn.Data::ALL.reg.nn
    Uniaxial neural network for use in original triaxial Sojourn method
    rda| rds
    nnet.formula
  3. Sojourn.Data::cent
    Centering coefficients for uniaxial nnetinputs
    json| rda| rds
    numeric
  4. Sojourn.Data::cent.1
    Centering coefficients for triaxial nnetinputs
    json| rda| rds
    numeric
  5. Sojourn.Data::class.nnn.6
    Triaxial neural network for original Sojourn method
    rda| rds
    nnet.formula
  6. Sojourn.Data::reg.nn
    Uniaxial neural network for use in the original uniaxial Sojourn method
    rda| rds
    nnet.formula
  7. Sojourn.Data::scal
    Scaling coefficients for uniaxial nnetinputs
    json| rda| rds
    numeric
  8. Sojourn.Data::scal.1
    Scaling coefficients for triaxial nnetinputs
    json| rda| rds
    numeric
  9. 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
  10. Sojourn.Data::youth_hipCounts
    Neural network for youth Sojourn method, taking activity count data from hip-worn monitors
    rda| rds
    nnet.formula
  11. Sojourn.Data::youth_hipRaw
    Neural network for youth Sojourn method, taking raw accelerometer data from hip-worn monitors
    rda| rds
    nnet.formula
  12. Sojourn.Data::youth_wristCounts
    Neural network for youth Sojourn method, taking activity count data from non-dominant-wrist-worn monitors
    rda| rds
    nnet.formula
  13. Sojourn.Data::youth_wristRaw
    Neural network for youth Sojourn method, taking raw accelerometer data from non-dominant-wrist-worn monitors
    rda| rds
    nnet.formula