g.part5.savetimeseries: 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 = "")

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.

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.

Author

Vincent T van Hees <v.vanhees@accelting.com>