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| aggregate_for_mims | Aggregate over epoch to get numerically integrated values. |
| aggregate_for_orientation | Aggregate over epoch to get estimated accelerometer orientation. |
| bandlimited_interp | Apply a bandlimited interpolation filter to the signal to change the sampling rate |
| bessel | Apply Bessel lowpass filter to the signal |
| clip_data | Clip dataframe to the given start and stop time |
| compute_orientation | Estimate the accelerometer orientation |
| conceptual_diagram_data | The input accelerometer data used to generate the conceptual diagram (Figure 1) in the manuscript. |
| custom_mims_unit | Compute both MIMS-unit and sensor orientations with custom settings |
| cut_off_signal | Cut off input multi-channel signal according to a new dynamic range |
| cv_different_algorithms | Coefficient of variation values for different acceleration data summary algorithms |
| edge_case | A short snippet of raw accelerometer signal from a device that has ending data maxed out. |
| export_to_actilife | Export accelerometer data in Actilife RAW CSV format |
| extrapolate | Extrapolate input multi-channel accelerometer data |
| extrapolate_rate | Get extrapolation rate. |
| extrapolate_single_col | Extrapolate input multi-channel accelerometer data |
| generate_interactive_plot | Plot MIMS unit values or raw signal using dygraphs interactive plotting library. |
| iir | Apply IIR filter to the signal |
| illustrate_extrapolation | Plot illustrations about extrapolation in illustration style. |
| illustrate_signal | Plot given raw signal in illustration diagram style. |
| import_actigraph_count_csv | Import Actigraph count data stored in Actigraph summary csv format |
| import_actigraph_csv | Import raw multi-channel accelerometer data stored in Actigraph raw csv format |
| import_actigraph_csv_chunked | Import large raw multi-channel accelerometer data stored in Actigraph raw csv format in chunks |
| import_actigraph_meta | Import The meta information stored in Actigraph RAW or summary csv file. |
| import_activpal3_csv | Import raw multi-channel accelerometer data stored in ActivPal3 csv format |
| import_enmo_csv | Import ENMO data stored in csv csv |
| import_mhealth_csv | Import raw multi-channel accelerometer data stored in mHealth Specification |
| import_mhealth_csv_chunked | Import large raw multi-channel accelerometer data stored in mHealth Specification in chunks. |
| interpolate_signal | Interpolate missing points and unify sampling rate for multi-channel signal |
| measurements_different_devices | The mean and standard deviation of accelerometer summary measure for different acceleration data summary algorithms and for different devices. |
| mims_unit | Compute Monitor Independent Motion Summary unit (MIMS-unit) |
| mims_unit_from_files | Compute Monitor Independent Motion Summary unit (MIMS-unit) |
| parse_epoch_string | Parse epoch string to the corresponding number of samples it represents. |
| remove_average | Remove constant component of the signal |
| rest_on_table | A short snippet of raw accelerometer signal from a device resting on a table. |
| sample_raw_accel_data | Sample raw accelerometer data |
| sampling_rate | Estimate sampling rate for multi-channel signal |
| segment_data | Segment input dataframe into windows as specified by breaks. 'segment_data' segments the input sensor dataframe into epoch windows with length specified in breaks. |
| sensor_orientations | Estimates sensor orientation |
| shiny_app | Run shiny app to compute MIMSunit values from files |
| simulate_new_data | Simulate new data based on the given multi-channel accelerometer data |
| sum_up | Sum of multi-channel signal. |
| vector_magnitude | Vector magnitude of multi-channel signal. |