@@ -309,7 +309,9 @@ epi_slide <- function(
309309 ... ,
310310 .keep = TRUE
311311 ) %> %
312- {vec_rbind(!!! . )} %> %
312+ {
313+ vec_rbind(!!! . )
314+ } %> %
313315 `[`(. $ .real , names(. ) != " .real" ) %> %
314316 arrange_col_canonical() %> %
315317 group_by(!!! .x_orig_groups )
@@ -345,13 +347,14 @@ epi_slide_one_group <- function(
345347 .data_group , # (epi_df; epi_slide uses .keep = TRUE)
346348 vec_cbind( # (tibble -> vec_rbind produces tibble)
347349 .group_key ,
348- tibble (
350+ new_tibble(vec_recycle_common (
349351 time_value = c(
350352 missing_times ,
351353 .date_seq_list $ pad_early_dates ,
352354 .date_seq_list $ pad_late_dates
353- ), .real = FALSE
354- )
355+ ),
356+ .real = FALSE
357+ ))
355358 )
356359 # we should be adding time values of the same time_type (and shouldn't be
357360 # introducing duplicate epikeytime values); we can reclass without checks:
@@ -902,7 +905,10 @@ epi_slide_opt <- function(
902905 # first `before` and last `after` elements.
903906 .data_group <- vec_rbind(
904907 .data_group , # (tibble; epi_slide_opt uses .keep = FALSE)
905- tibble(time_value = c(missing_times , pad_early_dates , pad_late_dates ), .real = FALSE )
908+ new_tibble(vec_recycle_common(
909+ time_value = c(missing_times , pad_early_dates , pad_late_dates ),
910+ .real = FALSE
911+ ))
906912 ) %> %
907913 `[`(vec_order(. $ time_value ), )
908914
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