R 多变量频率表，按分类变量分组

我想创建一个由多个变量（X1-X4）组成的频率表，并按一个分类变量（颜色）分组。以下是示例数据：

df <- data.frame(name = paste0("obj", 1:6),
                 X1 = c(0,1,1,1,0,1),
                 X2 = c(1,1,1,1,1,1),
                 X3 = c(0,1,1,0,0,0),
                 X4 = c(0,1,1,1,0,0),
                 color = c("red","red","blue","green","green","blue"),
                 other = c(5,3,1,8,4,3))

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非常感谢

您可以获取长格式的数据，对于每个

color

和列

sum

值，获取宽格式的数据并添加

Total

列

library(dplyr)
library(tidyr)

df %>%
  pivot_longer(cols = starts_with('X'), names_to = 'col') %>%
  group_by(col, color) %>%
  summarise(n = sum(value)) %>%
  pivot_wider(names_from = color, values_from = n) %>%
  ungroup %>%
  janitor::adorn_totals(where = 'col') 
  #Or use `rowSums`
  #mutate(Total = rowSums(.[-1]))

# col blue green red Total
#  X1    2     1   1     4
#  X2    2     2   2     6
#  X3    1     0   1     2
#  X4    1     1   1     3
 

library(dplyr)
library(tidyr)

df %>%
  pivot_longer(cols = starts_with('X'), names_to = 'col') %>%
  group_by(col, color) %>%
  summarise(n = sum(value)) %>%
  pivot_wider(names_from = color, values_from = n) %>%
  ungroup %>%
  janitor::adorn_totals(where = 'col') 
  #Or use `rowSums`
  #mutate(Total = rowSums(.[-1]))

# col blue green red Total
#  X1    2     1   1     4
#  X2    2     2   2     6
#  X3    1     0   1     2
#  X4    1     1   1     3