合并单元格时,是否有一种聪明的方法可以使水平边框表格变宽? (在下面的示例中,它还不是表宽)。
或者我应该编写一个函数来计算正确的索引?
library(flextable)
library(officer)
library(dplyr)
myft <- flextable(head(mtcars),
col_keys = c("am", "carb", "gear", "mpg", "drat" ))%>%
theme_vanilla()%>%
merge_v(j = c("am"))%>%border(border.bottom = fp_border(style = "solid", width=2), i=c(3,6), part="body")
myft
这是您想要的代码。它需要更多的工作才能通用 - 该示例仅在第 1 列是唯一合并单元格的情况下进行调整。
library(flextable)
library(officer)
library(dplyr)
bigborder <- fp_border(style = "solid", width=2)
myft <- flextable(head(mtcars),
col_keys = c("am", "carb", "gear", "mpg", "drat" ))%>%
theme_vanilla()%>%
merge_v(j = c("am"))
# here starts the trick
row_loc <- rle(cumsum( myft$body$spans$columns[,1] ))$values
myft <- myft %>%
border(border.bottom = bigborder, i=row_loc, j = 2:5, part="body")
myft <- myft %>%
border(border.bottom = bigborder,
i = myft$body$spans$columns[,1] > 1, j = 1, part="body") %>%
border(border.bottom = bigborder, border.top = bigborder, part = "header")
myft
一个更简单的解决方案是添加一列来指示哪些行需要底部边框,然后添加一个
hline()
以及使用该值的行选择。通过仅使用 col_keys
选择要在原始弹性表规范中显示的列,可以将该辅助选择保留在表之外。
library(tidyverse)
library(flextable)
your_flextable = tibble(
col_group = rep(letters[1:3], each = 3),
the_value = rnorm(length(col_group))
) %>%
group_by(col_group) %>%
mutate(
is_last_val_in_group = row_number() == max(row_number())
) %>%
flextable(col_keys = c('col_group', 'the_value')) %>%
merge_v(j = 'col_group') %>%
hline(i = ~is_last_val_in_group == TRUE, border = fp_border()) %>%
fix_border_issues()
Flextable 在
my_table$body$spans
中存储有关合并单元格大小的信息,您可以使用该信息来做一些事情。例如,这是一个简单的表格,后面是其内容 $body$spans$columns
:
library(flextable)
library(dplyr)
library(officer)
set.seed(123456)
# Input data
my_mtcars <-
mtcars %>%
mutate(
vs = factor(vs, labels = c("V-shaped engine", "Straight engine")),
am = factor(am, labels = c("Automatic", "Manual")),
car = factor(rownames(mtcars))
) %>%
group_by(vs, am, gear) %>%
slice_sample(n = 2) %>%
ungroup() %>%
arrange(vs, am, gear)
# Basic table.
tbl0 <-
my_mtcars %>%
flextable(col_keys = c("vs", "am", "gear", "car", "mpg", "hp")) %>%
merge_v(j = c("vs", "am")) %>%
valign(j = 1:2, valign = "top")
tbl0
tbl0$body$spans$columns
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 6 2 1 1 1 1
#> [2,] 0 0 1 1 1 1
#> [3,] 0 4 1 1 1 1
#> [4,] 0 0 1 1 1 1
#> [5,] 0 0 1 1 1 1
#> [6,] 0 0 1 1 1 1
#> [7,] 7 4 1 1 1 1
#> [8,] 0 0 1 1 1 1
#> [9,] 0 0 1 1 1 1
#> [10,] 0 0 1 1 1 1
#> [11,] 0 3 1 1 1 1
#> [12,] 0 0 1 1 1 1
#> [13,] 0 0 1 1 1 1
.$body$spans$columns
存储每个合并范围包含多少行。
unique(cumsum(...))[,x]
,其中 x
是您要用来决定线条走向的列号,为您提供绘制线条的行位置。
tbl1 <-
tbl0 %>%
hline(i = unique(cumsum(.$body$spans$columns[,1])),
border = fp_border(width = 2)) %>%
fix_border_issues()
tbl1
您可以绘制更多线条,但问题是,如果将新线条绘制到同一位置,则新线条将替换旧线条。因此,您要么需要以相反的顺序绘制线条(以便更突出的线条覆盖次要的线条),要么只需要在不存在现有线条的地方绘制新线条。
# This is a function that returns non-duplicated values in two vectors.
remove_dupes <- function(x, y) {
c(setdiff(x, y), setdiff(y, x))
}
remove_dupes(1:4, 3:6)
#> [1] 1 2 5 6
tbl2 <-
tbl1 %>%
merge_v(j = c("am", "gear"), target = "gear", combine = TRUE) %>%
valign(j = 3, valign = "top") %>%
# The existing lines I want to keep were drawn based on column 1 values (`vs`).
# The new lines I want to draw are based on column 3 values (`gear`).
hline(i = remove_dupes(unique(cumsum(.$body$spans$columns[,1])),
unique(cumsum(.$body$spans$columns[,3]))),
border = fp_border(style = "dotted", width = 1)) %>%
fix_border_issues()
tbl2
创建于 2024-10-04,使用 reprex v2.1.1