flextable 中是否有一个函数可以将 table 中的几行分组到一个标签下?

Is there a function in flextable to group a few rows in a table together under a label?

我想在 flextable 中生成一个 table 将某些行组合在一起

例如使用数据:

df<-structure(list(` ` = c("Group", "Age", 
"Residence", "Smoker", "Europe"
), `1` = c("63", "25 ", "25", 
"15", "15"), `2` = c("23", 
"53 ", "53", "74", "11"), 
    `3` = c("85", "22", "43", 
    "13", "15")), row.names = c(NA, -5L), class = c("tbl_df", 
"tbl", "data.frame"))

制作table

df<-flextable(df)  %>%
  add_footer_lines("Observed event") %>%
   color(part = "footer", color = "#800000") %>%
   bold( bold = TRUE,part="header")  %>%
   width(j = NULL, width = 1, unit = "in")  %>%
    autofit() 

我想在 smoker 和 Europe 行上方添加一个分组行,称为 'demographics'。使用更长的 tables 这些分组使其更易于阅读。 kable(group_rowspack_rows)中有类似的东西,但我还没有找到 flextable。

也许你可以尝试这样的事情:

library(flextable)
# to manipulate data
library(dplyr)
  
df %>%
  # adding a grouping variable
  mutate(grouping_var = c('','','','demographics','demographic')) %>%
  # define as grouped data
  as_grouped_data( groups = c("grouping_var"), columns = NULL) %>%
  # equal to your code
  flextable()  %>%
  add_footer_lines("Observed event") %>%
  color(part = "footer", color = "#800000") %>%
  bold( bold = TRUE,part="header")  %>%
  width(j = NULL, width = 1, unit = "in")  %>%
  autofit()

另一个可能的解决方案可能是使用 ftExtra 库(它扩展了 flextable 库的功能)。所以,请在下面找到一个代表。

Reprex

  • 建议代码
library(flextable)
library(ftExtra)
library(dplyr)


grouped_df <- df %>% 
  mutate(category = c("", "", "", "demographics", "demographics")) %>% 
  group_by(category) %>%
  as_flextable(hide_grouplabel = TRUE) %>% 
  bold(j = 1, i = ~ !is.na(category), bold = TRUE, part = "body" ) %>%
  add_footer_lines("Observed event") %>%
  color(part = "footer", color = "#800000") %>%
  bold(bold = TRUE, part = "header")  %>%
  width(j = NULL, width = 1, unit = "in")  %>% 
  autofit()  
  • 输出
grouped_df

reprex package (v2.0.1)

于 2022-03-29 创建

有一个函数可以构造一个分组 data.frame,其中分组打印为行分隔符。所以这个答案只适用于你有一个在 data.frame 中可用的组。我认为结果与 'ftExtra' 提供的结果相同,只是数据准备步骤不同。

我在示例中添加了一个名为 type 的列用于此角色。

library(flextable)
library(magrittr)

df <- structure(list(
  type = c("glop glop", "glop glop" , "glop glop", "pas glop pas glop", "pas glop pas glop"), 
  what = c("Group", "Age", "Residence", "Smoker", "Europe"), 
  `1` = c(63, 25, 25, 15, 15), 
  `2` = c(23, 53, 53, 74, 11),
  `3` = c(85, 22, 43, 13, 15)
  ), 
  row.names = c(NA, -5L), 
  class = c("data.frame"))

df
#>                type      what  1  2  3
#> 1         glop glop     Group 63 23 85
#> 2         glop glop       Age 25 53 22
#> 3         glop glop Residence 25 53 43
#> 4 pas glop pas glop    Smoker 15 74 13
#> 5 pas glop pas glop    Europe 15 11 15

一些默认设置:

set_flextable_defaults(font.color = "#333333", border.color = "#999999", padding = 4)

现在是 flextable。首先 as_grouped_data() 重构 data.frame,然后 as_flextable() 轻松将其转换为 flextable。

as_grouped_data(df, groups = "type") %>% 
  as_flextable() %>% 
  add_footer_lines("Observed event") %>%
  set_header_labels(what = "") %>% 
  color(part = "footer", color = "#800000") %>%
  bold( bold = TRUE, part="header") %>% 
  align(i = ~ !is.na(type), align = "center") %>% 
  bold(i = ~ !is.na(type))