g.part5.savetimeseries: Saves part 5 time series to csv files

In GGIR: Raw Accelerometer Data Analysis

Saves part 5 time series to csv files

Description

Not intended for direct use by GGIR users. Saves part 5 time series to csv files as part of g.part5.

Usage

  g.part5.savetimeseries(ts, LEVELS, desiredtz, rawlevels_fname,
                            DaCleanFile = NULL,
                            includedaycrit.part5 = 2/3,
                            includenightcrit.part5 = 0,
                            ID = NULL,
                            params_output,
                            params_247 = NULL,
                            Lnames = NULL, timewindow = NULL,
                            filename = "")

Arguments

ts	Data.frame with time series
LEVELS	As produced as one of the objects in the output of identify_levels
desiredtz	See GGIR.
rawlevels_fname	Path to the file where the output (time series) should be stored
DaCleanFile	Content of data_cleaning_file as documented in g.report.part5. Only used in this function if save_ms5rawlevels is TRUE, and it only affects the time series files stored.
includedaycrit.part5	See GGIR. Only used in this function if save_ms5rawlevels is TRUE, and it only affects the time series files stored.
includenightcrit.part5	See GGIR. Only used in this function if save_ms5rawlevels is TRUE, and it only affects the time series files stored.
ID	If data_cleaning_file is used then this argument specifies which participant ID the data correspond with.
params_output	Parameters object, see GGIR
params_247	See GGIR
Lnames	Level names as passed on from identify_levels, these are the names corresponding the ID of the behavioural classes as stored in column class_id.
timewindow	See GGIR
filename	Character (default = "") indicating the name of the accelerometer data file that was used as input. This name will be stored inside the time series output file.

Value

Function does not provide output, it only prepare data for saving and saves it to a file. For documention on columns see main vignette.

Author(s)

Vincent T van Hees <[e-mail]>

GGIR documentation built on April 3, 2025, 6 p.m.