具有频率和百分比的双向意外事件 Table

Question

我得到了以下双向意外事件 table，其中包含单元格百分比和频率（在括号中）。

gender       blue blue-gray       brown      dark      hazel    yellow
 female 33.33% (3) 0.00% (0) 55.56%  (5) 0.00% (0) 11.11% (1) 0.00% (0)
   male 34.62% (9) 3.85% (1) 46.15% (12) 3.85% (1)  3.85% (1) 7.69% (2)

我使用的R代码是

library(dplyr)

library(janitor)

starwars %>%
  filter(species == "Human") %>% 
  tabyl(gender, eye_color) %>%
  adorn_percentages("row") %>%
  adorn_pct_formatting(digits = 2) %>%
  adorn_ns()

但是，我想获得相同类型的 table，其中包含单元格频率和百分比（在括号中）。请帮忙。

Answer 1

我们可以将 adorn_ns 中的 position 参数从 rear（默认）更改为 front

library(tidyverse)
starwars %>%
  filter(species == "Human") %>% 
   tabyl(gender, eye_color) %>%
   adorn_percentages("row") %>%
   adorn_pct_formatting(digits = 2) %>%
   adorn_ns(position = "front")
# gender       blue blue-gray       brown      dark      hazel    yellow
# female 3 (33.33%) 0 (0.00%)  5 (55.56%) 0 (0.00%) 1 (11.11%) 0 (0.00%)
#   male 9 (34.62%) 1 (3.85%) 12 (46.15%) 1 (3.85%) 1  (3.85%) 2 (7.69%)

或者如果对象已经创建，另一个选项是 post-processswith mutate_at 通过捕获两个块中的字符来更改除第一列之外的所有列的格式，通过反转来反转位置为百分比

添加 () 时的反向引用

library(tidyverse)
starwars %>%
  filter(species == "Human") %>% 
  tabyl(gender, eye_color) %>%
  adorn_percentages("row") %>%
  adorn_pct_formatting(digits = 2) %>%
  adorn_ns() %>% 
  mutate_at(-1, list(~ str_replace(., "^([0-9.%]+)\s+\((\d+)\)", "\2 (\1)")))
# gender       blue blue-gray       brown      dark      hazel    yellow
#1 female 3 (33.33%) 0 (0.00%)  5 (55.56%) 0 (0.00%) 1 (11.11%) 0 (0.00%)
#2   male 9 (34.62%) 1 (3.85%) 12 (46.15%) 1 (3.85%)  1 (3.85%) 2 (7.69%)

具有频率和百分比的双向意外事件 Table

Two-Way Contingency Table with frequencies and percentages

r

contingency

dplyr

tidyverse

janitor