Add a row of new columns labels in header part. Labels can be spanned along multiple columns, as merged cells.
Labels are associated with a number of columns to merge that default to one if not specified. In this case, you have to make sure that the number of labels is equal to the number of columns displayed.
The function can add only one single row by call.
Labels can also be formatted with as_paragraph()
.
Arguments
- x
a flextable object
- top
should the row be inserted at the top or the bottom. Default to TRUE.
- values
values to add, a character vector (as header rows contains only character values/columns), a list or a call to
as_paragraph()
.- colwidths
the number of columns used for each label
See also
Other functions for row and column operations in a flextable:
add_body()
,
add_body_row()
,
add_footer()
,
add_footer_lines()
,
add_footer_row()
,
add_header()
,
delete_columns()
,
delete_part()
,
delete_rows()
,
separate_header()
,
set_header_footer_df
,
set_header_labels()
Examples
library(flextable)
ft01 <- fp_text_default(color = "red")
ft02 <- fp_text_default(color = "orange")
pars <- as_paragraph(
as_chunk(c("(1)", "(2)"), props = ft02), " ",
as_chunk(c(
"My tailor is rich",
"My baker is rich"
), props = ft01)
)
ft_1 <- flextable(head(mtcars))
ft_1 <- add_header_row(ft_1,
values = pars,
colwidths = c(5, 6), top = FALSE
)
ft_1 <- add_header_row(ft_1,
values = pars,
colwidths = c(3, 8), top = TRUE
)
ft_1
(1) My tailor is rich
(2) My baker is rich
mpg
cyl
disp
hp
drat
wt
qsec
vs
am
gear
carb
(1) My tailor is rich
(2) My baker is rich
21.0
6
160
110
3.90
2.620
16.46
0
1
4
4
21.0
6
160
110
3.90
2.875
17.02
0
1
4
4
22.8
4
108
93
3.85
2.320
18.61
1
1
4
1
21.4
6
258
110
3.08
3.215
19.44
1
0
3
1
18.7
8
360
175
3.15
3.440
17.02
0
0
3
2
18.1
6
225
105
2.76
3.460
20.22
1
0
3
1
ft_2 <- flextable(head(airquality))
ft_2 <- add_header_row(ft_2,
values = c("Measure", "Time"),
colwidths = c(4, 2), top = TRUE
)
ft_2 <- theme_box(ft_2)
ft_2
Measure
Time
Ozone
Solar.R
Wind
Temp
Month
Day
41
190
7.4
67
5
1
36
118
8.0
72
5
2
12
149
12.6
74
5
3
18
313
11.5
62
5
4
14.3
56
5
5
28
14.9
66
5
6