R: Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)

# Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)

## Documentation for package ‘MIMSunit’ version 0.11.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
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.
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.