@@ -668,14 +668,14 @@ group_by.epi_archive = function(.data, ..., .add=FALSE, .drop=dplyr::group_by_dr
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# ' explanation. If a function, `f` must take an `epi_df` with the same
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# ' column names as the archive's `DT`, minus the `version` column; followed
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# ' by a one-row tibble containing the values of the grouping variables for
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- # ' the associated group; followed by a Date containing the reference time
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- # ' value that was used ; followed by any number of named arguments. If a formula,
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- # ' `f` can operate directly on columns accessed via `.x$var` or `.$var`, as in
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- # ' `~ mean (.x$var)` to compute a mean of a column `var` for each
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+ # ' the associated group; followed by a reference time value, usually as a
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+ # ' `Date` object ; followed by any number of named arguments. If a formula,
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+ # ' `f` can operate directly on columns accessed via `.x$var` or `.$var`, as
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+ # ' in `~ mean (.x$var)` to compute a mean of a column `var` for each
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# ' group-`ref_time_value` combination. The group key can be accessed via
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# ' `.y` or `.group_key`, and the reference time value can be accessed via
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- # ' `.z` or `.ref_time_value`. If `f` is missing, then `...` will specify
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- # ' the computation.
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+ # ' `.z` or `.ref_time_value`. If `f` is missing, then `...` will specify the
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+ # ' computation.
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# ' @param ... Additional arguments to pass to the function or formula specified
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# ' via `f`. Alternatively, if `f` is missing, then `...` is interpreted as an
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# ' expression for tidy evaluation. See details of [`epi_slide`].
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