fixed count_gaps() warning due to dplyr change

closes #295

Author: earowang

DESCRIPTION

@@ -38,7 +38,7 @@ Depends:
     R (>= 3.2.0)
 Imports: 
     anytime (>= 0.3.1),
-    dplyr (>= 1.0.0),
+    dplyr (>= 1.1.0),
     ellipsis (>= 0.3.0),
     generics,
     lifecycle,

NAMESPACE

@@ -361,6 +361,7 @@ importFrom(dplyr,left_join)
 importFrom(dplyr,mutate)
 importFrom(dplyr,new_grouped_df)
 importFrom(dplyr,pull)
+importFrom(dplyr,reframe)
 importFrom(dplyr,rename)
 importFrom(dplyr,right_join)
 importFrom(dplyr,select)

NEWS.md

@@ -1,6 +1,7 @@
 # tsibble 1.1.4
 
 * Fixed `vec_ptype2()` for `yearweek` and `yearquarter` for non-default week start. (#299)
+* Fixed `count_gaps()` warning message due to dplyr deprecation in favour of `reframe()`. (#295)
 
 # tsibble 1.1.3
 

R/gaps.R

@@ -232,7 +232,7 @@ count_gaps <- function(.data, .full = FALSE, .name = c(".from", ".to", ".n"),
 
   idx_full <- seq_generator(.data[[as_string(idx)]], int)
   grped_tbl <- new_grouped_df(gap_data, groups = key_data(gap_data))
-  lst_out <- summarise(grped_tbl,
+  lst_out <- reframe(grped_tbl,
     !!".gaps" := tbl_gaps(!!idx, idx_full, .name = .name))
 
   vec_cbind(lst_out[key_vars(.data)], vec_cbind(!!!lst_out$.gaps))
@@ -342,7 +342,7 @@ seq_generator <- function(x, time_units = NULL, length_out = NULL) {
   if (time_units == 0) return(x)
 
   min_x <- min(x)
-  seq_call <- quote(seq(from = min_x, to = max(x), by = time_units, 
+  seq_call <- quote(seq(from = min_x, to = max(x), by = time_units,
     length.out = length_out))
   if (!is.null(length_out)) {
     seq_call <- call_modify(seq_call, to = zap())

R/tsibble-package.R

@@ -85,7 +85,7 @@
 #' @importFrom dplyr group_by ungroup group_data grouped_df group_vars
 #' @importFrom dplyr group_rows groups new_grouped_df is_grouped_df
 #' @importFrom dplyr left_join right_join full_join inner_join anti_join
-#' @importFrom dplyr bind_rows bind_cols combine with_order pull first
+#' @importFrom dplyr bind_rows bind_cols combine with_order pull first reframe
 #' @importFrom dplyr dplyr_row_slice dplyr_col_modify dplyr_reconstruct
 #' @importFrom tibble new_tibble trunc_mat
 #' @import rlang tidyselect vctrs ellipsis