Life cycle -> Lifecycle

R/colwise-mutate.R

@@ -75,7 +75,7 @@
 #'
 #' Name collisions in the new columns are disambiguated using a unique suffix.
 #'
-#' @section Life cycle:
+#' @section Lifecycle:
 #'
 #' The functions are maturing, because the naming scheme and the
 #' disambiguation algorithm are subject to change in dplyr 0.9.0.
@@ -196,7 +196,7 @@ summarize_at <- summarise_at
 #'   `transmute_if()`.
 #'
 #' @inheritSection summarise_all Naming
-#' @inheritSection summarise_all Life cycle
+#' @inheritSection summarise_all Lifecycle
 #'
 #' @examples
 #' iris <- as_tibble(iris)

R/group-nest.R

@@ -10,7 +10,7 @@ group_nest_impl <- function(.tbl, .key, keep = FALSE){
 #'
 #' Nest a tibble using a grouping specification
 #'
-#' @section Life cycle:
+#' @section Lifecycle:
 #' `group_nest()` is not stable because [`tidyr::nest(.by =)`][tidyr::nest()]
 #' provides very similar behavior. It may be deprecated in the future.
 #'

R/group-split.R

@@ -17,7 +17,7 @@
 #' is generally not very useful as you want have easy access to the group
 #' metadata.
 #'
-#' @section Life cycle:
+#' @section Lifecycle:
 #' `group_split()` is not stable because you can achieve very similar results by
 #' manipulating the nested column returned from
 #' [`tidyr::nest(.by =)`][tidyr::nest()]. That also retains the group keys all

R/nest-by.R

@@ -30,7 +30,7 @@
 #'   reframe(data)
 #' ```
 #'
-#' @section Life cycle:
+#' @section Lifecycle:
 #' `nest_by()` is not stable because [`tidyr::nest(.by =)`][tidyr::nest()]
 #' provides very similar behavior. It may be deprecated in the future.
 #'