排序数据框以获得所需的形式

Sorting dataframe to achieve desired form

大家早上好

我有以下例子:

data <- data.frame(matrix(0, nrow = 3, ncol = 5))
colnames(data) = paste("art_", 1:5, sep = "")
rownames(data) = paste("use_", 1:3, sep = "")
data["use_1",c("art_1","art_2","art_3")] = 1
data["use_2",c("art_2","art_3")] = 1
data["use_3",c("art_1","art_2","art_3","art_4","art_5")] = 1

#This is how the table looks like:
      art_1 art_2 art_3 art_4 art_5
use_1     1     1     1     0     0
use_2     0     1     1     0     0
use_3     1     1     1     1     1

现在我想重新排列或排序行和列,以便所有带有 1 的条目都分组在左上角。 这是重新排列后的样子:

      art_2 art_3 art_1 art_4 art_5
use_3     1     1     1     1     1
use_1     1     1     1     0     0
use_2     1     1     0     0     0

非常感谢您的任何提示和帮助。

干杯

您可以使用以下代码:

data[order(rowSums(data), decreasing=TRUE), order(colSums(data), decreasing=TRUE)]

输出:

      art_2 art_3 art_1 art_4 art_5
use_3     1     1     1     1     1
use_1     1     1     1     0     0
use_2     1     1     0     0     0

使用 apply,按行排序 (MARGIN = 1),然后按列排序 (MARGIN = 2):

data[] <- t(apply(data, 1, sort, decreasing = T))
data[] <- apply(data, 2, sort, decreasing = T)

      art_1 art_2 art_3 art_4 art_5
use_1     1     1     1     1     1
use_2     1     1     1     0     0
use_3     1     1     0     0     0

另一个可能的解决方案:

data[names(sort(apply(data, 2, sum), decreasing = T))]

#>       art_2 art_3 art_1 art_4 art_5
#> use_1     1     1     1     0     0
#> use_2     1     1     0     0     0
#> use_3     1     1     1     1     1