| ChoicesFilterState | R Documentation |
FilterState object for categorical dataManages choosing elements from a set.
teal.slice::FilterState -> ChoicesFilterState
new()Initialize a FilterState object.
ChoicesFilterState$new( x, x_reactive = reactive(NULL), slice, extract_type = character(0) )
x(character)
variable to be filtered.
x_reactive(reactive)
returning vector of the same type as x. Is used to update
counts following the change in values of the filtered dataset.
If it is set to reactive(NULL) then counts based on filtered
dataset are not shown.
slice(teal_slice)
specification of this filter state.
teal_slice is stored in the object and set_state directly manipulates values within teal_slice.
get_state returns teal_slice object which can be reused in other places.
Note that teal_slice is a reactiveValues, which means it has reference semantics, i.e.
changes made to an object are automatically reflected in all places that refer to the same teal_slice.
extract_type(character)
specifying whether condition calls should be prefixed by dataname. Possible values:
character(0) (default) varname in the condition call will not be prefixed
"list" varname in the condition call will be returned as <dataname>$<varname>
"matrix" varname in the condition call will be returned as <dataname>[, <varname>]
Object of class ChoicesFilterState, invisibly.
get_call()Returns reproducible condition call for current selection.
For this class returned call looks like
<varname> %in% c(<values selected>) with optional is.na(<varname>).
ChoicesFilterState$get_call(dataname)
dataname(character(1)) name of data set; defaults to private$get_dataname()
call or NULL
clone()The objects of this class are cloneable with this method.
ChoicesFilterState$clone(deep = FALSE)
deepWhether to make a deep clone.
# use non-exported function from teal.slice
include_css_files <- getFromNamespace("include_css_files", "teal.slice")
include_js_files <- getFromNamespace("include_js_files", "teal.slice")
ChoicesFilterState <- getFromNamespace("ChoicesFilterState", "teal.slice")
library(shiny)
filter_state <- ChoicesFilterState$new(
x = c(LETTERS, NA),
slice = teal_slice(varname = "var", dataname = "data")
)
isolate(filter_state$get_call())
filter_state$set_state(
teal_slice(
dataname = "data",
varname = "var",
selected = "A",
keep_na = TRUE
)
)
isolate(filter_state$get_call())
# working filter in an app
library(shinyjs)
data_choices <- c(sample(letters[1:4], 100, replace = TRUE), NA)
attr(data_choices, "label") <- "lowercase letters"
fs <- ChoicesFilterState$new(
x = data_choices,
slice = teal_slice(
dataname = "data", varname = "variable", selected = c("a", "c"), keep_na = TRUE
)
)
ui <- fluidPage(
useShinyjs(),
include_css_files(pattern = "filter-panel"),
include_js_files(pattern = "count-bar-labels"),
column(4, tags$div(
tags$h4("ChoicesFilterState"),
fs$ui("fs")
)),
column(4, tags$div(
tags$h4("Condition (i.e. call)"), # display the condition call generated by this FilterState
textOutput("condition_choices"), tags$br(),
tags$h4("Unformatted state"), # display raw filter state
textOutput("unformatted_choices"), tags$br(),
tags$h4("Formatted state"), # display human readable filter state
textOutput("formatted_choices"), tags$br()
)),
column(4, tags$div(
tags$h4("Programmatic filter control"),
actionButton("button1_choices", "set drop NA", width = "100%"), tags$br(),
actionButton("button2_choices", "set keep NA", width = "100%"), tags$br(),
actionButton("button3_choices", "set selection: a, b", width = "100%"), tags$br(),
actionButton("button4_choices", "deselect all", width = "100%"), tags$br(),
actionButton("button0_choices", "set initial state", width = "100%"), tags$br()
))
)
server <- function(input, output, session) {
fs$server("fs")
output$condition_choices <- renderPrint(fs$get_call())
output$formatted_choices <- renderText(fs$format())
output$unformatted_choices <- renderPrint(fs$get_state())
# modify filter state programmatically
observeEvent(
input$button1_choices,
fs$set_state(
teal_slice(dataname = "data", varname = "variable", keep_na = FALSE)
)
)
observeEvent(
input$button2_choices,
fs$set_state(
teal_slice(dataname = "data", varname = "variable", keep_na = TRUE)
)
)
observeEvent(
input$button3_choices,
fs$set_state(
teal_slice(dataname = "data", varname = "variable", selected = c("a", "b"))
)
)
observeEvent(
input$button4_choices,
fs$set_state(
teal_slice(dataname = "data", varname = "variable", selected = character(0), keep_na = TRUE)
)
)
observeEvent(
input$button0_choices,
fs$set_state(
teal_slice(dataname = "data", varname = "variable", selected = c("a", "c"), keep_na = TRUE)
)
)
}
if (interactive()) {
shinyApp(ui, server)
}
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