z.acc

This dataset is a section of data from Experiment 3, User 2, based on accelerometer readings from a smartphone (Reyes-Ortiz, Oneto, Sama, Parra, and Anguita (2016)), obtained from the UCI data repository (Kelly, Longjohn, and Nottingham (2024)). The data gives the time series of the acceleration along the Z-axis of an experiment participant as they perform the activities of walking up and downstairs several times.

datasets

Fitting models for, and simulation of, trend locally stationary
wavelet (TLSW) time series models, which take account of time-varying
trend and dependence structure in a univariate time series. The TLSW model,
and its estimation, is described in McGonigle, Killick and Nunes (2022a)
<doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. Further information regarding the use of the package, along with detailed examples, can be found in McGonigle, Killick and Nunes (2025) <doi:10.18637/jss.v115.i10>. New users will
likely want to start with the TLSW function.

Euan T. McGonigle

TrendLSW

Wavelet Methods for Analysing Locally Stationary Time Series

Rebecca Killick

Matthew Nunes

z.acc function

Format

This dataset is a section of data from Experiment 3, User 2, based on accelerometer readings from a smartphone (Reyes-Ortiz, Oneto, Sama, Parra, and Anguita (2016)), obtained from the UCI data repository (Kelly, Longjohn, and Nottingham (2024)). The data gives the time series of the acceleration along the Z-axis of an experiment participant as they perform the activities of walking up and downstairs several times.

z.acc: Z-Axis Acceleration for Human Activity Monitoring

Description

Usage

Arguments

Format

References

See Also