input_select {ggvis} | R Documentation |
input_radiobuttons
only ever selects one value
input_checkboxgroup
can alway select multiple values
input_select
can select only one if multiple = FALSE
,
otherwise the user can select multiple by using modifier keys
input_select(choices, selected = NULL, multiple = FALSE, label = "", id = rand_id("select_"), map = identity, selectize = FALSE) input_radiobuttons(choices, selected = NULL, label = "", id = rand_id("radio_"), map = identity) input_checkboxgroup(choices, selected = NULL, label = "", id = rand_id("radio_"), map = identity)
choices |
List of values to select from. If elements of the list are named, then that name rather than the value is displayed to the user. This can also be a named list whose elements are (either named or unnamed) lists or vectors. If this is the case, the outermost names will be used as the "optgroup" label for the elements in the respective sublist. This allows you to group and label similar choices. See the example section for a small demo of this feature. |
selected |
The initially selected value (or multiple values if
|
multiple |
Is selection of multiple items allowed? |
label |
Display label for the control, or |
id |
A unique identifier for this input. Usually generated automatically. |
map |
A function with single argument |
selectize |
Whether to use selectize.js or not. |
Other interactive input: input_checkbox
,
input_slider
, input_text
# Dropdown input_select(c("a", "b", "c")) input_select(c("a", "b", "c"), multiple = TRUE) input_select(c("a", "b", "c"), selected = "c") # If you want to select variable names, you need to convert # the output of the input to a name with map so that they get # computed correctly input_select(names(mtcars), map = as.name) # Radio buttons input_radiobuttons(choices = c("Linear" = "lm", "LOESS" = "loess"), label = "Model type") input_radiobuttons(choices = c("Linear" = "lm", "LOESS" = "loess"), selected = "loess", label = "Model type") # Used in layer_model_predictions mtcars %>% ggvis(~wt, ~mpg) %>% layer_model_predictions(model = input_radiobuttons( choices = c("Linear" = "lm", "LOESS" = "loess"), selected = "loess", label = "Model type")) # Checkbox group mtcars %>% ggvis(x = ~wt, y = ~mpg) %>% layer_points( fill := input_checkboxgroup( choices = c("Red" = "r", "Green" = "g", "Blue" = "b"), label = "Point color components", map = function(val) { rgb(0.8 * "r" %in% val, 0.8 * "g" %in% val, 0.8 * "b" %in% val) } ) )