Update lifecycle badges (#268)

Part of insightsengineering/coredev-tasks#649

Removed stable badges.
Removed `experimental` badges that were edited at 0.4.1 (so probably
introduced earlier) during #176, but now we have 0.6.0 on CRAN.

Author: m7pr

.pre-commit-config.yaml

@@ -17,7 +17,6 @@ repos:
         additional_dependencies:
           - checkmate
           - dplyr
-          - lifecycle
           - logger
           - methods
           - rlang

DESCRIPTION

@@ -24,7 +24,6 @@ Imports:
     checkmate (>= 2.1.0),
     dplyr (>= 1.1.0),
     htmltools,
-    lifecycle (>= 0.2.0),
     logger (>= 0.2.0),
     methods,
     rlang (>= 1.0.0),
@@ -48,12 +47,10 @@ Suggests:
 VignetteBuilder:
     knitr,
     rmarkdown
-RdMacros:
-    lifecycle
 Remotes:
     insightsengineering/teal.widgets
 Config/Needs/verdepcheck: mllg/checkmate, tidyverse/dplyr,
-    r-lib/lifecycle, daroczig/logger, r-lib/rlang, rstudio/shiny,
+    daroczig/logger, r-lib/rlang, rstudio/shiny,
     daattali/shinyjs, rstudio/shinyvalidate,
     insightsengineering/teal.data, insightsengineering/teal.logger,
     insightsengineering/teal.widgets, tidyverse/tidyr, r-lib/tidyselect,

NAMESPACE

@@ -72,4 +72,3 @@ export(value_choices)
 export(variable_choices)
 import(shiny)
 importFrom(dplyr,"%>%")
-importFrom(lifecycle,badge)

R/Queue.R

@@ -4,7 +4,6 @@
 #' @docType class
 #'
 #' @description
-#' `r lifecycle::badge("experimental")`
 #'
 #' Abstract data type that stores and returns any number of elements.
 #'

R/choices_labeled.R

@@ -1,7 +1,6 @@
 #' Set "`<choice>:<label>`" type of names
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' This is often useful for [choices_selected()] as it marks up the drop-down boxes
 #' for [shiny::selectInput()].
@@ -123,7 +122,6 @@ choices_labeled <- function(choices, labels, subset = NULL, types = NULL) {
 #' Variable label extraction and custom selection from data
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Wrapper on [choices_labeled] to label variables basing on existing labels in data.
 #'
@@ -244,7 +242,6 @@ variable_choices.data.frame <- function(data, subset = NULL, fill = TRUE, key =
 #' Value labeling and filtering based on variable relationship
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Wrapper on [choices_labeled] to label variable values basing on other variable values.
 #'

R/choices_selected.R

@@ -3,7 +3,6 @@ no_select_keyword <- "-- no selection --"
 #' Choices selected
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Construct a single list containing available choices, the default selected value, and
 #' additional settings such as to order the choices with the selected elements appearing first
@@ -201,8 +200,6 @@ is.choices_selected <- function(x) { # nolint: object_name_linter.
 
 #' Add empty choice to choices selected
 #'
-#' `r lifecycle::badge("stable")`
-#'
 #' @param x (`choices_selected`) object.
 #' @param multiple (`logical(1)`) whether multiple selections are allowed or not.
 #'
@@ -227,8 +224,6 @@ add_no_selected_choices <- function(x, multiple = FALSE) {
 
 #' Check select choices for no choice made
 #'
-#' `r lifecycle::badge("stable")`
-#'
 #' @param x (`character`) Word that shall be checked for `NULL`, empty, "--no-selection".
 #'
 #' @return The word or `NULL`.

R/column_functions.R

@@ -1,6 +1,6 @@
 #' Returns non-key column names from data
 #'
-#' @description `r lifecycle::badge("stable")`
+#' @description Returns non-key column names from data.
 #'
 #' @param data (`data.frame`) Data with attribute `filter_and_columns`. This can only be
 #' created by [data_extract_srv()], which returns a shiny [shiny::reactive()].

R/data_extract_datanames.R

@@ -1,7 +1,6 @@
 #' Help text with available datasets input
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Creates [shiny::helpText()] with the names of available datasets for the
 #' current module.
@@ -23,7 +22,6 @@ datanames_input <- function(data_extracts) {
 #' Gets names of the datasets from a list of `data_extract_spec` objects
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Fetches `dataname` slot per `data_extract_spec` from a list of
 #' `data_extract_spec`.
@@ -67,7 +65,6 @@ get_extract_datanames <- function(data_extracts) {
 #' Verify uniform dataset source across data extract specification
 #'
 #' @description
-#'  `r lifecycle::badge("stable")`
 #'
 #' Checks if the input `data_extract_spec` objects all come from the same dataset.
 #'

R/data_extract_module.R

@@ -61,8 +61,7 @@ data_extract_deps <- function() {
 
 #' `teal` data extraction module user-interface
 #'
-#' @description
-#' `r lifecycle::badge("experimental")`
+#' @description Data extraction module.
 #'
 #' @details
 #' There are three inputs that will be rendered
@@ -273,7 +272,6 @@ check_data_extract_spec_react <- function(datasets, data_extract) {
 #' Extraction of the selector(s) details
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' Extracting details of the selection(s) in [data_extract_ui] elements.
 #'
@@ -582,7 +580,6 @@ data_extract_srv.list <- function(id,
 #' Creates a named list of `data_extract_srv` output
 #'
 #' @description
-#' `r lifecycle::badge("experimental")`
 #'
 #' `data_extract_multiple_srv` loops over the list of `data_extract` given and
 #' runs `data_extract_srv` for each one returning a list of reactive objects.

R/data_extract_spec.R

@@ -1,7 +1,6 @@
 #' Data extract input for `teal` modules
 #'
 #' @description
-#' `r lifecycle::badge("stable")`
 #'
 #' The Data extract input can be used to filter and select columns from a data set.
 #' This function enables such an input in `teal`.