| FilterPanelAPI {teal.slice} | R Documentation |
Class to encapsulate the API of the filter panel of a teal app
Description
An API class for managing filter states in a teal application's filter panel.
Details
The purpose of this class is to encapsulate the API of the filter panel in a
new class FilterPanelAPI so that it can be passed and used in the server
call of any module instead of passing the whole FilteredData object.
This class is supported by methods to set, get, remove filter states in the filter panel API.
Methods
Public methods
Method new()
Initialize a FilterPanelAPI object.
Usage
FilterPanelAPI$new(datasets)
Arguments
datasets(
FilteredData)
Method get_filter_state()
Gets the reactive values from the active FilterState objects of the FilteredData object.
Gets all active filters in the form of a nested list.
The output list is a compatible input to set_filter_state.
Usage
FilterPanelAPI$get_filter_state()
Returns
list with named elements corresponding to FilteredDataset objects with active filters.
Method set_filter_state()
Sets active filter states.
Usage
FilterPanelAPI$set_filter_state(filter)
Arguments
filter(
teal_slices)
Returns
NULL, invisibly.
Method remove_filter_state()
Remove one or more FilterState of a FilteredDataset in the FilteredData object.
Usage
FilterPanelAPI$remove_filter_state(filter)
Arguments
filter(
teal_slices) specifyingFilterStateobjects to remove;teal_slices may contain onlydatanameandvarname, other elements are ignored
Returns
NULL, invisibly.
Method clear_filter_states()
Remove all FilterStates of the FilteredData object.
Usage
FilterPanelAPI$clear_filter_states(datanames)
Arguments
datanames(
character)datanamesto remove theirFilterStates; omit to remove allFilterStatesin theFilteredDataobject
Returns
NULL, invisibly.
Method clone()
The objects of this class are cloneable with this method.
Usage
FilterPanelAPI$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
library(shiny)
fd <- init_filtered_data(list(iris = iris))
fpa <- FilterPanelAPI$new(fd)
# get the actual filter state --> empty named list
isolate(fpa$get_filter_state())
# set a filter state
set_filter_state(
fpa,
teal_slices(
teal_slice(dataname = "iris", varname = "Species", selected = "setosa", keep_na = TRUE)
)
)
# get the actual filter state --> named list with filters
isolate(fpa$get_filter_state())
# remove all_filter_states
fpa$clear_filter_states()
# get the actual filter state --> empty named list
isolate(fpa$get_filter_state())