These functions can be used to create or add to a split result in functions which implement core splitting or post-processing within a custom split function.
Arguments
- values
(
character
orlist(SplitValue)
)
the values associated with each facet.- datasplit
(
list(data.frame)
)
the facet data for each facet generated in the split.- labels
(
character
)
the labels associated with each facet.- extras
(
list
orNULL
)
extra values associated with each of the facets which will be passed to analysis functions applied within the facet.- subset_exprs
(
list
)
A list of subsetting expressions (e.g., created withquote()
) to be used during column subsetting.- splres
(
list
)
a list representing the result of splitting.
Value
A named list representing the facets generated by the split with elements values
, datasplit
, and
labels
, which are the same length and correspond to each other element-wise.
Details
These functions performs various housekeeping tasks to ensure that the split result list is as the rtables internals expect it, most of which are not relevant to end users.
See also
Other make_custom_split:
add_combo_facet()
,
drop_facet_levels()
,
make_split_fun()
,
trim_levels_in_facets()
Other make_custom_split:
add_combo_facet()
,
drop_facet_levels()
,
make_split_fun()
,
trim_levels_in_facets()
Examples
splres <- make_split_result(
values = c("hi", "lo"),
datasplit = list(hi = mtcars, lo = mtcars[1:10, ]),
labels = c("more data", "less data"),
subset_exprs = list(expression(TRUE), expression(seq_along(wt) <= 10))
)
splres2 <- add_to_split_result(splres,
values = "med",
datasplit = list(med = mtcars[1:20, ]),
labels = "kinda some data",
subset_exprs = quote(seq_along(wt) <= 20)
)