View source: R/colby_constructors.R
split_rows_by_multivar | R Documentation |
When we need rows to reflect different variables rather than different
levels of a single variable, we use split_rows_by_multivar
.
split_rows_by_multivar(
lyt,
vars,
split_fun = NULL,
split_label = "",
varlabels = vars,
format = NULL,
na_str = NA_character_,
nested = TRUE,
child_labels = c("default", "visible", "hidden"),
indent_mod = 0L,
section_div = NA_character_,
extra_args = list()
)
lyt |
layout object pre-data used for tabulation |
vars |
character vector. Multiple variable names. |
split_fun |
function/NULL. custom splitting function See
|
split_label |
string. Label string to be associated with the table generated by the split. Not to be confused with labels assigned to each child (which are based on the data and type of split during tabulation). |
varlabels |
character vector. Labels for |
format |
|
na_str |
character(1). String that should be displayed when the value of |
nested |
boolean. Should this layout instruction be applied within the
existing layout structure if possible ( |
child_labels |
string. One of |
indent_mod |
numeric. Modifier for the default indent position for the structure created by this function(subtable, content table, or row) and all of that structure's children. Defaults to 0, which corresponds to the unmodified default behavior. |
section_div |
character(1). String which should be repeated as a section
divider after each group defined by this split instruction, or
|
extra_args |
list. Extra arguments to be passed to the tabulation function. Element position in the list corresponds to the children of this split. Named elements in the child-specific lists are ignored if they do not match a formal argument of the tabulation function. |
A PreDataTableLayouts
object suitable for passing to further
layouting functions, and to build_table
.
split_rows_by()
for typical row splitting, and
split_cols_by_multivar()
to perform the same type of split on a column basis.
lyt <- basic_table() %>%
split_cols_by("ARM") %>%
split_rows_by_multivar(c("SEX", "STRATA1")) %>%
summarize_row_groups() %>%
analyze(c("AGE", "SEX"))
tbl <- build_table(lyt, DM)
tbl
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