data_processing: Process data before visualisation.
In gertstulp/ESMvis: Visualising Experience Sampling Method Data

Description Usage Arguments Value

View source: R/data_processing.R

Process data before visualisation.

data_processing(data = NULL, var_date = NULL, format_date = NULL,
  vars_meas = NULL, vars_groups = NULL, vars_event = NULL,
  vars_descr = NULL, ID = NULL, type_vis = "timeseries",
  time_frame = "all", sel_period = NULL, sel_period_zoom = NULL)

`data`	A dataframe.
`var_date`	A string with the name of the date-variable.
`format_date`	A string with the format of the date (e.g., "ymd", "ymd_HM").
`vars_meas`	A vector of variable names that need to be visualised.
`vars_groups`	A vector of specific variable names that are in vars_meas.
`vars_event`	A vector of names of variables that describe events.
`vars_descr`	A vector of names of variables that describe events.
`ID`	A list that must contain the elements ID_var and ID; ID_var must be a string with a variable name, and ID must be a string of the unique identifier.
`type_vis`	The type of visualisation required; the options are "timeseries" (default), "zoom", "barchart", and "network".
`time_frame`	A vector with the first and last measurement.
`sel_period`	A vector with the first and last measurement for selecting a specific period.
`sel_period_zoom`	A vector with the first and last measurement for selecting a specific period in the "zoom" graph.