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Associate multiple variables with rows

Source: R/colby_constructors.R
split_rows_by_multivar.Rd

When we need rows to reflect different variables rather than different levels of a single variable, we use split_rows_by_multivar.

Usage 

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()
)

Arguments

lyt

(PreDataTableLayouts)
layout object pre-data used for tabulation.

vars

(character)
vector of variable names.

split_fun

(function or NULL)
custom splitting function. See custom_split_funs.

split_label

(string)
label 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 of labels for vars.

format

(string, function, or list)
format associated with this split. Formats can be declared via strings ("xx.x") or function. In cases such as analyze calls, they can be character vectors or lists of functions. See formatters::list_valid_format_labels() for a list of all available format strings.

na_str

(string)
string that should be displayed when the value of x is missing. Defaults to "NA".

nested

(logical)
whether this layout instruction should be applied within the existing layout structure if possible (TRUE, the default) or as a new top-level element (FALSE). Ignored if it would nest a split underneath analyses, which is not allowed.

child_labels

(string)
the display behavior for the labels (i.e. label rows) of the children of this split. Accepts "default", "visible", and "hidden". Defaults to "default" which flags the label row as visible only if the child has 0 content rows.

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

(string)
string which should be repeated as a section divider after each group defined by this split instruction, or NA_character_ (the default) for no section divider.

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.

Value

A PreDataTableLayouts object suitable for passing to further layouting functions, and to build_table().

See also

split_rows_by() for typical row splitting, and split_cols_by_multivar() to perform the same type of split on a column basis.

Examples 

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
#>                           A: Drug X      B: Placebo    C: Combination
#> —————————————————————————————————————————————————————————————————————
#>                                                                      
#>   SEX                    121 (100.0%)   106 (100.0%)    129 (100.0%) 
#>     AGE                                                              
#>       Mean                  34.91          33.02           34.57     
#>     SEX                                                              
#>       F                       70             56              61      
#>       M                       51             50              68      
#>       U                       0              0               0       
#>       UNDIFFERENTIATED        0              0               0       
#>   STRATA1                121 (100.0%)   106 (100.0%)    129 (100.0%) 
#>     AGE                                                              
#>       Mean                  34.91          33.02           34.57     
#>     SEX                                                              
#>       F                       70             56              61      
#>       M                       51             50              68      
#>       U                       0              0               0       
#>       UNDIFFERENTIATED        0              0               0