Transform a 'tabulator' object into a flextable

tabulator() object can be transformed as a flextable with method as_flextable().

Usage

# S3 method for tabulator
as_flextable(
  x,
  separate_with = character(0),
  big_border = fp_border_default(width = 1.5),
  small_border = fp_border_default(width = 0.75),
  rows_alignment = "left",
  columns_alignment = "center",
  label_rows = x$rows,
  spread_first_col = FALSE,
  expand_single = FALSE,
  sep_w = 0.05,
  unit = "in",
  ...
)

Arguments

x

result from tabulator()

separate_with

columns used to sepatate the groups with an horizontal line.

big_border, small_border

big and small border properties defined by a call to fp_border_default() or fp_border().

rows_alignment, columns_alignment

alignments to apply to columns corresponding to rows and columns; see arguments rows and columns in tabulator().

label_rows

labels to use for the first column names, i.e. the row column names. It must be a named vector, the values will be matched based on the names.

spread_first_col

if TRUE, first row is spread as a new line separator instead of being a column. This helps to reduce the width and allows for clear divisions.

expand_single

if FALSE (the default), groups with only one row will not be expanded with a title row. If TRUE, single row groups and multi-row groups are all restructured.

sep_w

blank column separators'width to be used. If 0, blank column separators will not be used.

unit

unit of argument sep_w, one of "in", "cm", "mm".

...

unused argument

See also

summarizor(), as_grouped_data()

Other as_flextable methods: as_flextable(), as_flextable.data.frame(), as_flextable.gam(), as_flextable.glm(), as_flextable.grouped_data(), as_flextable.htest(), as_flextable.kmeans(), as_flextable.lm(), as_flextable.merMod(), as_flextable.pam(), as_flextable.summarizor(), as_flextable.table(), as_flextable.tabular(), as_flextable.xtable()

Examples

if (FALSE) {
library(flextable)

set_flextable_defaults(digits = 2, border.color = "gray")

if (require("stats")) {
  dat <- aggregate(breaks ~ wool + tension,
    data = warpbreaks, mean
  )

  cft_1 <- tabulator(
    x = dat,
    rows = "wool",
    columns = "tension",
    `mean` = as_paragraph(as_chunk(breaks)),
    `(N)` = as_paragraph(
      as_chunk(length(breaks))
    )
  )

  ft_1 <- as_flextable(cft_1, sep_w = .1)
  ft_1
}

if (require("stats")) {
  set_flextable_defaults(
    padding = 1, font.size = 9,
    border.color = "orange"
  )

  ft_2 <- as_flextable(cft_1, sep_w = 0)
  ft_2
}

if (require("stats")) {
  set_flextable_defaults(
    padding = 6, font.size = 11,
    border.color = "white",
    font.color = "white",
    background.color = "#333333"
  )

  ft_3 <- as_flextable(
    x = cft_1, sep_w = 0,
    rows_alignment = "center",
    columns_alignment = "right"
  )
  ft_3
}

init_flextable_defaults()
}