Filter multiple times based on a list of arguments. — filter_Datetime

filter_Datetime_multiple() is a wrapper around filter_Datetime() or filter_Date() that allows the cumulative filtering of Datetimes based on varying filter conditions. It is most useful in conjunction with the only_Id argument, e.g., to selectively cut off dates depending on participants (see examples)

Usage

filter_Datetime_multiple(
  dataset,
  arguments,
  filter_function = filter_Datetime,
  ...
)

Arguments

dataset: A light logger dataset
arguments: A list of arguments to be passed to filter_Datetime() or filter_Date(). each list entry must itself be a list of arguments, e.g, list(start = "2021-01-01", only_Id = quote(Id == 216)). Expressions have to be quoted with quote() or rlang::expr().
filter_function: The function to be used for filtering, either filter_Datetime (the default) or filter_Date
...: Additional arguments passed to the filter function. If the length argument is provided here instead of the argument, it has to be written as a string, e.g., length = "1 day", instead of length = lubridate::days(1).

Value

A dataframe with the filtered data

Examples

arguments <- list(
 list(start = "2023-08-17", only_Id = quote(Id == "Participant")),
 list(end = "2023-08-17", only_Id = quote(Id == "Environment")))
 #compare the unfiltered dataset
 sample.data.environment %>% gg_overview(Id.colname = Id)

 #compare the unfiltered dataset
 sample.data.environment %>%
 filter_Datetime_multiple(arguments = arguments, filter_Date) %>%
 gg_overview(Id.colname = Id)