如何跨多列将 1, 2, 3, 4 更改为 0, 1？

Question

有一个小标题包含数字 1 到 4。

library(tidyverse)

# reproducible data
sample_tbl <- structure(list(X1 = c(4L, 4L, 1L, 4L, 1L, 4L, 2L, 3L, 2L, 4L), 
X2 = c(1L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 3L, 2L), X3 = c(4L, 
3L, 3L, 3L, 2L, 2L, 1L, 1L, 4L, 2L), X4 = c(1L, 4L, 3L, 2L, 
3L, 4L, 2L, 1L, 1L, 1L), X5 = c(1L, 3L, 3L, 1L, 2L, 2L, 3L, 
3L, 4L, 1L), X6 = c(2L, 3L, 4L, 4L, 3L, 2L, 4L, 1L, 1L, 3L
), X7 = c(3L, 4L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 1L), X8 = c(2L, 
4L, 4L, 2L, 3L, 2L, 3L, 4L, 3L, 4L), X9 = c(2L, 1L, 4L, 4L, 
2L, 4L, 4L, 1L, 3L, 3L), X10 = c(3L, 4L, 1L, 3L, 1L, 2L, 
1L, 2L, 2L, 3L)), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -10L))

# A tibble: 10 x 10
      X1    X2    X3    X4    X5    X6    X7    X8    X9   X10
   <int> <int> <int> <int> <int> <int> <int> <int> <int> <int>
 1     4     1     4     1     1     2     3     2     2     3
 2     4     4     3     4     3     3     4     4     1     4
 3     1     4     3     3     3     4     1     4     4     1
 4     4     4     3     2     1     4     2     2     4     3
 5     1     4     2     3     2     3     3     3     2     1
 6     4     2     2     4     2     2     3     2     4     2
 7     2     4     1     2     3     4     2     3     4     1
 8     3     4     1     1     3     1     2     4     1     2
 9     2     3     4     1     4     1     2     3     3     2
10     4     2     2     1     1     3     1     4     3     3

我想把1和2改成0，3到4改成1。

预期输出：

# A tibble: 10 x 10
      X1    X2    X3
   <int> <int>   ...
 1     1     0   ... 
 2     1     1   ... 
 3     0     1   ...
 4     1     1   ...
 5     0     1   ...
 6     1     0   ...
 7     0     1   ...
 8     1     1   ...
 9     0     1   ...
10     1     0   ...

我以为我可以使用dplyr::mutate(), dplyr::across()，dplyr::case_when()但我不知道如何使用。

我怎样才能做到这一点？

Answer 1

使用整数除以 3：

sample_tbl %/% 3

#    X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
# 1   1  0  1  0  0  0  1  0  0   1
# 2   1  1  1  1  1  1  1  1  0   1
# 3   0  1  1  1  1  1  0  1  1   0
# 4   1  1  1  0  0  1  0  0  1   1
# 5   0  1  0  1  0  1  1  1  0   0
# 6   1  0  0  1  0  0  1  0  1   0
# 7   0  1  0  0  1  1  0  1  1   0
# 8   1  1  0  0  1  0  0  1  0   0
# 9   0  1  1  0  1  0  0  1  1   0
# 10  1  0  0  0  0  1  0  1  1   1