all_data: Two-regression-ready data frame

In paulhibbing/TwoRegression: Develop and Apply Two-Regression Algorithms

Two-regression-ready data frame

Description

A dataset with pre-processed primary accelerometer and IMU data that is ready for applying a two-regression algorithm.

Usage

all_data

Format

A data frame with 299 rows and 17 variables:

PID

Participant ID

file_source_PrimaryAccel

The filename of the primary accelerometer file

date_processed_PrimaryAccel

The date the primary accelerometer file was processed

file_source_IMU

The filename of the IMU file

date_processed_IMU

The date the IMU file was processed

Timestamp

The corresponding time for each row of data

day_of_year

The numeric day of the year, i.e., the Julian date

minute_of_day

The numeric minute of the day

ENMO

Euclidian Norm Minus One, in milli-g

Gyroscope_VM_DegPerS

Gyroscope vector magnitude, in degrees per second

mean_abs_Gyroscope_x_DegPerS

Rotation in x axis, degrees per second

mean_abs_Gyroscope_y_DegPerS

Rotation in y axis, degrees per second

mean_abs_Gyroscope_z_DegPerS

Rotation in z axis, degrees per second

mean_magnetometer_direction

Cardinal direction of magnetometer signal, averaged over one second

ENMO_CV10s

Coefficient of variation per 10-s, applied to Euclidian Norm Minus One

GVM_CV10s

Coefficient of variation per 10-s, applied to gyroscope vector magnitude

Direction

Direction changes per 5-s

paulhibbing/TwoRegression documentation built on July 9, 2023, 2:57 a.m.