Layout with 1 column and zero rows

Usage

basic_table(
  title = "",
  subtitles = character(),
  main_footer = character(),
  prov_footer = character(),
  show_colcounts = FALSE,
  colcount_format = "(N=xx)",
  header_section_div = NA_character_,
  top_level_section_div = NA_character_,
  inset = 0L
)

Arguments

title

(string)
single string to use as main title (main_title()). Ignored for subtables.

subtitles

(character)
a vector of strings to use as subtitles (subtitles()), where every element is printed on a separate line. Ignored for subtables.

main_footer

(character)
a vector of strings to use as main global (non-referential) footer materials (main_footer()), where every element is printed on a separate line.

prov_footer

(character)
a vector of strings to use as provenance-related global footer materials (prov_footer()), where every element is printed on a separate line.

show_colcounts

(flag)
whether column counts should be displayed in the resulting table when this layout is applied to data.

colcount_format

(string)
format for use when displaying the column counts. Must be 1d, or 2d where one component is a percent. See Details below.

header_section_div

(string)
string which will be used to divide the header from the table. See header_section_div() for the associated getter and setter. Please consider changing last element of section_div() when concatenating tables that require a divider between them.

top_level_section_div

(character(1))
if assigned a single character, the first (top level) split or division of the table will be highlighted by a line made of that character. See section_div for more information.

inset

(numeric(1))
number of spaces to inset the table header, table body, referential footnotes, and main_footer, as compared to alignment of title, subtitle, and provenance footer. Defaults to 0 (no inset).

Value

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

Details

colcount_format is ignored if show_colcounts is FALSE (the default). When show_colcounts is TRUE, and colcount_format is 2-dimensional with a percent component, the value component for the percent is always populated with 1 (i.e. 100%). 1d formats are used to render the counts exactly as they normally would be, while 2d formats which don't include a percent, and all 3d formats result in an error. Formats in the form of functions are not supported for colcount format. See formatters::list_valid_format_labels() for the list of valid format labels to select from.

Note

• Because percent components in colcount_format are always populated with the value 1, we can get arguably strange results, such as that individual arm columns and a combined "all patients" column all list "100%" as their percentage, even though the individual arm columns represent strict subsets of the "all patients" column.

• Note that subtitles (subtitles()) and footers (main_footer() and prov_footer()) that span more than one line can be supplied as a character vector to maintain indentation on multiple lines.

Examples

lyt <- basic_table() %>%
  analyze("AGE", afun = mean)

tbl <- build_table(lyt, DM)
tbl
#>            all obs     
#> ———————————————————————
#> mean   34.2219101123596

lyt2 <- basic_table(
  title = "Title of table",
  subtitles = c("a number", "of subtitles"),
  main_footer = "test footer",
  prov_footer = paste(
    "test.R program, executed at",
    Sys.time()
  )
) %>%
  split_cols_by("ARM") %>%
  analyze("AGE", mean)

tbl2 <- build_table(lyt2, DM)
tbl2
#> Title of table
#> a number
#> of subtitles
#> 
#> —————————————————————————————————————————————————————————————
#>           A: Drug X          B: Placebo       C: Combination 
#> —————————————————————————————————————————————————————————————
#> mean   34.9090909090909   33.0188679245283   34.5658914728682
#> —————————————————————————————————————————————————————————————
#> 
#> test footer
#> 
#> test.R program, executed at 2024-04-16 05:49:49.924354

lyt3 <- basic_table(
  show_colcounts = TRUE,
  colcount_format = "xx. (xx.%)"
) %>%
  split_cols_by("ARM")