The gt package

The `gt()` function

Create a gt table object using the exibble dataset. Use the row and group columns to add a stub and row groups via the rowname_col and groupname_col arguments.

tab_1 <-
  exibble |>
  gt(
    rowname_col = "row",
    groupname_col = "group"
  )

tab_1

	num	char	fctr	date	time	datetime	currency
grp_a
row_1	1.111e-01	apricot	one	2015-01-15	13:35	2018-01-01 02:22	49.950
row_2	2.222e+00	banana	two	2015-02-15	14:40	2018-02-02 14:33	17.950
row_3	3.333e+01	coconut	three	2015-03-15	15:45	2018-03-03 03:44	1.390
row_4	4.444e+02	durian	four	2015-04-15	16:50	2018-04-04 15:55	65100.000
grp_b
row_5	5.550e+03	NA	five	2015-05-15	17:55	2018-05-05 04:00	1325.810
row_6	NA	fig	six	2015-06-15	NA	2018-06-06 16:11	13.255
row_7	7.770e+05	grapefruit	seven	NA	19:10	2018-07-07 05:22	NA
row_8	8.880e+06	honeydew	eight	2015-08-15	20:20	NA	0.440

The resulting gt table object can be used in transformations with a variety of tab_*(), fmt_*(), cols_*(), and even more functions available in the package.

tab_1 |>
  tab_header(
    title = "Table Title",
    subtitle = "Subtitle"
  ) |>
  fmt_number(
    columns = num,
    decimals = 2
  ) |>
  cols_label(num = "number")

	number	char	fctr	date	time	datetime	currency
Table Title
Subtitle
grp_a
row_1	0.11	apricot	one	2015-01-15	13:35	2018-01-01 02:22	49.950
row_2	2.22	banana	two	2015-02-15	14:40	2018-02-02 14:33	17.950
row_3	33.33	coconut	three	2015-03-15	15:45	2018-03-03 03:44	1.390
row_4	444.40	durian	four	2015-04-15	16:50	2018-04-04 15:55	65100.000
grp_b
row_5	5,550.00	NA	five	2015-05-15	17:55	2018-05-05 04:00	1325.810
row_6	NA	fig	six	2015-06-15	NA	2018-06-06 16:11	13.255
row_7	777,000.00	grapefruit	seven	NA	19:10	2018-07-07 05:22	NA
row_8	8,880,000.00	honeydew	eight	2015-08-15	20:20	NA	0.440

The gt() function

The `gt()` function