paginate: Paginate tables

Description

Prevents breaks between tables rows you want to stay together. This feature only applies to Word and RTF output.

Usage

paginate(
  x,
  init = NULL,
  hdr_ftr = TRUE,
  group = character(),
  group_def = c("rle", "nonempty")
)

Value

updated flextable object

Arguments

x

flextable object

init

init value for keep_with_next property, it default value is get_flextable_defaults()$keep_with_next.

hdr_ftr

if TRUE (default), prevent breaks between table body and header and between table body and footer.

group

name of a column to use for finding groups

group_def

algorithm to be used to identify groups that should not be split into two pages, one of 'rle', 'nonempty':

'rle': runs of equal values are used to define the groups, to be used with tabulator().
'nonempty': non empty value start a new group, to be used with as_flextable.tabular().

Details

The pagination of tables allows you to control their position in relation to page breaks.

For small tables, a simple setting is usually used that indicates that all rows should be displayed together:

paginate(x, init = TRUE, hdr_ftr = TRUE)

For large tables, it is recommended to use a setting that indicates that all rows of the header should be bound to the first row of the table to avoid the case where the header is displayed alone at the bottom of the page and then repeated on the next one:

paginate(x, init = FALSE, hdr_ftr = TRUE)

For tables that present groups that you don't want to be presented on two pages, you must use a parameterization involving the notion of group and an algorithm for determining the groups.

paginate(x, group = "grp", group_def = "rle")

Examples

Run this code

# \dontshow{
data.table::setDTthreads(1)
# }
library(data.table)
library(flextable)

init_flextable_defaults()

multi_fun <- function(x) {
  list(mean = mean(x), sd = sd(x))
}

dat <- as.data.table(ggplot2::diamonds)
dat <- dat[clarity %in% c("I1", "SI1", "VS2")]

dat <- dat[, unlist(lapply(.SD, multi_fun),
  recursive = FALSE
),
.SDcols = c("z", "y"),
by = c("cut", "color", "clarity")
]

tab <- tabulator(
  x = dat, rows = c("cut", "color"),
  columns = "clarity",
  `z stats` = as_paragraph(as_chunk(fmt_avg_dev(z.mean, z.sd, digit2 = 2))),
  `y stats` = as_paragraph(as_chunk(fmt_avg_dev(y.mean, y.sd, digit2 = 2)))
)

ft_1 <- as_flextable(tab)
ft_1 <- autofit(x = ft_1, add_w = .05) |>
  paginate(group = "cut", group_def = "rle")

save_as_docx(ft_1, path = tempfile(fileext = ".docx"))
save_as_rtf(ft_1, path = tempfile(fileext = ".rtf"))