FilteredDataset is a class which renders/controls FilterStates(s)
Each FilteredDataset contains filter_states field - a list which contains one
(data.frame) or multiple (MultiAssayExperiment) FilterStates objects.
Each FilterStates is responsible for one filter/subset expression applied for specific
components of the dataset.
Methods
Method new()
Initializes this FilteredDataset object.
Usage
FilteredDataset$new(
dataset,
dataname,
keys = character(0),
label = attr(dataset, "label", exact = TRUE)
)Method format()
Returns a formatted string representing this FilteredDataset object.
Method print()
Prints this FilteredDataset object.
Method clear_filter_states()
Removes all filter items applied to this dataset.
Method get_call()
Gets a filter expression.
This function returns filter calls equivalent to selected items
within each of filter_states. Configuration of the calls is constant and
depends on filter_states type and order which are set during initialization.
Method get_filter_state()
Gets states of all contained FilterState objects.
Method set_filter_state()
Set filter state.
Method ui_active()
shiny module containing active filters for a dataset, along with a title and a remove button.
Method srv_add()
Server module to add filter variable for this dataset.
For this class srv_add calls multiple modules
of the same name from FilterStates as MAEFilteredDataset
contains one FilterStates object for colData and one for each experiment.
Method finalize()
Object and dependencies cleanup.
Destroy inputs and observers stored in
private$session_bindingsFinalize
FilterStatesstored inprivate$filter_states