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Transform and summarise a 'data.frame' into a flextable Simple summary of a data.frame as a flextable

Source: R/df_printer.R
as_flextable.data.frame.Rd

It displays the first rows and shows the column types. If there is only one row, a simplified vertical table is produced.

Usage

# S3 method for data.frame
as_flextable(
  x,
  max_row = 10,
  split_colnames = FALSE,
  short_strings = FALSE,
  short_size = 35,
  short_suffix = "...",
  do_autofit = TRUE,
  show_coltype = TRUE,
  color_coltype = "#999999",
  ...
)

Arguments

x

a data.frame

max_row

The number of rows to print. Default to 10.

split_colnames

Should the column names be split (with non alpha-numeric characters). Default to FALSE.

short_strings

Should the character column be shorten. Default to FALSE.

short_size

Maximum length of character column if short_strings is TRUE. Default to 35.

short_suffix

Suffix to add when character values are shorten. Default to "...".

do_autofit

Use autofit() before rendering the table. Default to TRUE.

show_coltype

Show column types. Default to TRUE.

color_coltype

Color to use for column types. Default to "#999999".

...

unused arguments

See also

Other as_flextable methods: as_flextable(), 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.tabulator(), as_flextable.xtable()

Examples

as_flextable(mtcars)

mpg
cyl
disp
hp
drat
wt
qsec
vs
am
gear
carb
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
numeric
21.0
6
160.0
110
3.9
2.6
16.5
0
1
4
4
21.0
6
160.0
110
3.9
2.9
17.0
0
1
4
4
22.8
4
108.0
93
3.9
2.3
18.6
1
1
4
1
21.4
6
258.0
110
3.1
3.2
19.4
1
0
3
1
18.7
8
360.0
175
3.1
3.4
17.0
0
0
3
2
18.1
6
225.0
105
2.8
3.5
20.2
1
0
3
1
14.3
8
360.0
245
3.2
3.6
15.8
0
0
3
4
24.4
4
146.7
62
3.7
3.2
20.0
1
0
4
2
22.8
4
140.8
95
3.9
3.1
22.9
1
0
4
2
19.2
6
167.6
123
3.9
3.4
18.3
1
0
4
4
n: 32