Skip to content

Commit 9db1165

Browse files
committed
rename inrange... for phony helper dates
1 parent 0b48ea4 commit 9db1165

File tree

1 file changed

+4
-4
lines changed

1 file changed

+4
-4
lines changed

R/slide.R

+4-4
Original file line numberDiff line numberDiff line change
@@ -229,18 +229,18 @@ epi_slide = function(x, f, ..., before, after, ref_time_values,
229229
after <- time_step(after)
230230
}
231231

232-
inrange_time_values_not_in_x = ref_time_values - before
233-
inrange_time_values_not_in_x <- inrange_time_values_not_in_x[!(inrange_time_values_not_in_x %in% unique(x$time_value))]
232+
min_ref_time_values = ref_time_values - before
233+
min_ref_time_values_not_in_x <- min_ref_time_values[!(min_ref_time_values %in% unique(x$time_value))]
234234

235235
# Do set up to let us recover `ref_time_value`s later.
236236
# A helper column marking real observations.
237237
x$.real = TRUE
238238

239239
# Create df containing phony data. Df has the same columns and attributes as
240240
# `x`, but filled with `NA`s aside from grouping columns. Number of rows is
241-
# equal to the number of `inrange_time_values_not_in_x` we have * the
241+
# equal to the number of `min_ref_time_values_not_in_x` we have * the
242242
# number of unique levels seen in the grouping columns.
243-
before_time_values_df = data.frame(time_value=inrange_time_values_not_in_x)
243+
before_time_values_df = data.frame(time_value=min_ref_time_values_not_in_x)
244244
if (length(group_vars(x)) != 0) {
245245
before_time_values_df = dplyr::cross_join(
246246
# Get unique combinations of grouping columns seen in real data.

0 commit comments

Comments
 (0)