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Filter settings for teal applications

Source: R/teal_slices.R
teal_slices.Rd

Specify initial filter states and filtering settings for a teal app.

Usage 

teal_slices(
  ...,
  exclude_varnames = NULL,
  include_varnames = NULL,
  count_type = NULL,
  allow_add = TRUE,
  module_specific = FALSE,
  mapping,
  app_id = NULL
)

as.teal_slices(x)

# S3 method for teal_slices
c(...)

Arguments

...

any number of teal_slice objects. For print and format, additional arguments passed to other functions.

include_varnames, exclude_varnames

(named lists of character) where list names match names of data sets and vector elements match variable names in respective data sets; specify which variables are allowed to be filtered; see Details.

count_type

[Experimental] This is a new feature. Do kindly share your opinions on teal.slice's GitHub repository.

(character(1)) string specifying how observations are tallied by these filter states. Possible options:

  • "none" (default) to have counts of single FilterState to show unfiltered number only.

  • "all" to have counts of single FilterState to show number of observation in filtered and unfiltered dataset. Note, that issues were reported when using this option with MultiAssayExperiment. Please make sure that adding new filters doesn't fail on target platform before deploying for production.

allow_add

(logical(1)) logical flag specifying whether the user will be able to add new filters

module_specific

optional (logical(1))

  • FALSE (default) when one filter panel applied to all modules. All filters will be shared by all modules.

  • TRUE when filter panel module-specific. Modules can have different set of filters specified - see mapping argument.

mapping

[Experimental] This is a new feature. Do kindly share your opinions on teal's GitHub repository.

(named list) specifies which filters will be active in which modules on app start. Elements should contain character vector of teal_slice ids (see teal.slice::teal_slice). Names of the list should correspond to teal_module label set in module() function.

  • ids listed under "global_filters will be active in all modules.

  • If missing, all filters will be applied to all modules.

  • If empty list, all filters will be available to all modules but will start inactive.

  • If module_specific is FALSE, only global_filters will be active on start.

app_id

(character(1)) For internal use only, do not set manually. Added by init so that a teal_slices can be matched to the app in which it was used. Used for verifying snapshots uploaded from file. See snapshot.

x

(list) of lists to convert to teal_slices

Value

A teal_slices object.

Details

Produces a teal_slices object. The teal_slice components will specify filter states that will be active when the app starts. Attributes (created with the named arguments) will configure the way the app applies filters. See argument descriptions for details.

See also

teal.slice::teal_slices, teal.slice::teal_slice, slices_store()

Examples 

filter <- teal_slices(
  teal_slice(dataname = "iris", varname = "Species", id = "species"),
  teal_slice(dataname = "iris", varname = "Sepal.Length", id = "sepal_length"),
  teal_slice(
    dataname = "iris", id = "long_petals", title = "Long petals", expr = "Petal.Length > 5"
  ),
  teal_slice(dataname = "mtcars", varname = "mpg", id = "mtcars_mpg"),
  mapping = list(
    module1 = c("species", "sepal_length"),
    module2 = c("mtcars_mpg"),
    global_filters = "long_petals"
  )
)

app <- init(
  data = teal_data(iris = iris, mtcars = mtcars),
  modules = list(
    module("module1"),
    module("module2")
  ),
  filter = filter
)
#> module "module1" server function takes no data so "datanames" will be ignored
#> module "module2" server function takes no data so "datanames" will be ignored

if (interactive()) {
  shinyApp(app$ui, app$server)
}