我有以下问题但不知道。
我的（负责人）数据如下所示：
tag.1 tag.2 tag.3 tag.4 tag.5 tag.6 tag.7 tag.8 tag.9 tag.10 Sex
它只包含1和0.
我的动画是创建一个新表。如果在一天的列中有1，我想总结m（= 0）和f（= 1）。所以我每天都会有一定数量的女性和男性。
如果你可以帮助我，那会很好。
数据？我不知道如何在这里插入我的矩阵 输出？新表，每个采样日的男性/女性总和
tag 1 tag 2 tag 3 tag 4 tag 5 tag 6 tag 7 tag 8 tag 9 tag 10 Sex
1 1 0 0 0 0 0 0 0 0 0 0
2 1 0 0 0 0 0 0 0 0 0 0
3 1 0 0 0 0 0 0 0 0 0 0
4 1 0 0 0 0 0 1 0 0 0 1
5 1 0 0 0 0 0 0 0 0 0 1
6 1 0 0 0 0 0 0 0 0 0 1
7 1 0 0 0 0 0 0 0 0 0 1
8 1 1 0 0 0 0 0 0 0 0 0
9 1 0 0 0 0 0 0 0 0 0 0
10 1 0 0 0 0 0 0 0 0 0 0
11 1 0 0 0 0 0 0 0 0 0 1
12 1 1 0 0 0 0 0 0 0 0 0
13 1 0 0 0 0 0 0 0 0 0 0
14 1 1 0 0 0 0 0 0 0 0 0
15 1 0 0 0 0 0 0 0 0 0 0
16 1 0 0 0 0 0 0 0 0 0 0
17 1 0 0 1 0 0 0 0 0 0 0
18 1 0 0 0 0 0 0 0 0 0 0
19 1 0 1 0 0 0 0 0 0 0 0
20 1 1 0 0 1 0 1 1 0 0 0
21 1 0 0 0 0 0 0 0 0 0 0
22 1 1 0 0 0 0 0 0 0 0 1
23 1 0 0 0 0 0 0 0 0 0 0
24 0 1 0 0 0 0 0 0 0 0 1
25 0 1 0 0 0 0 0 0 0 0 1
26 0 1 0 0 0 0 0 0 0 0 0
27 0 1 0 0 1 0 0 0 0 0 0
28 0 1 0 0 0 1 0 0 0 0 0
29 0 1 0 0 0 0 0 0 0 0 0
30 0 1 0 0 0 0 0 0 0 0 0
31 0 1 0 1 0 0 0 0 0 0 0
32 0 1 0 0 0 0 0 0 0 0 0
33 0 1 0 0 0 0 0 0 0 0 0
34 0 1 0 0 0 0 0 0 0 0 0
35 0 1 0 0 0 0 0 0 0 0 1
36 0 1 0 0 0 0 0 0 0 0 0
37 0 1 0 0 0 0 0 0 0 0 0
38 0 1 1 0 0 0 0 0 0 0 1
39 0 1 1 1 1 1 0 0 0 0 0
40 0 1 0 0 0 0 0 0 0 0 0
41 0 1 0 0 0 0 0 0 0 0 1
42 0 1 0 0 0 0 0 0 0 1 0
43 0 1 0 0 0 0 0 0 0 0 0
44 0 1 0 0 0 0 0 0 0 0 1
45 0 1 0 0 0 0 0 0 0 0 0
46 0 1 0 0 0 0 0 0 0 0 0
47 0 1 0 0 0 0 0 0 0 0 1
48 0 1 1 1 1 0 0 0 0 0 1
49 0 0 1 1 1 0 0 0 0 0 0
50 0 0 1 0 0 0 0 0 0 0 0
51 0 0 1 1 0 0 0 0 0 0 0
52 0 0 1 0 0 0 0 0 0 0 1
53 0 0 1 1 1 0 1 0 0 0 0
54 0 0 1 0 1 0 1 0 0 0 1
55 0 0 1 0 0 1 0 1 0 0 0
56 0 0 1 0 0 0 0 0 0 0 1
57 0 0 1 0 0 0 0 1 0 0 1
58 0 0 1 0 0 0 0 0 0 0 0
59 0 0 1 0 0 0 0 0 0 0 0
60 0 0 1 0 1 0 0 0 0 0 1
61 0 0 0 1 0 0 0 0 0 0 0
62 0 0 0 1 0 0 0 0 0 0 0
63 0 0 0 1 0 0 0 0 0 0 1
64 0 0 0 1 0 1 0 0 0 0 0
65 0 0 0 1 0 0 0 0 0 0 1
66 0 0 0 1 0 0 0 0 0 0 0
67 0 0 0 1 0 0 0 0 0 0 1
68 0 0 0 1 0 0 1 0 0 0 1
69 0 0 0 1 0 0 0 0 0 0 0
70 0 0 0 1 0 0 0 0 0 0 1
71 0 0 0 1 0 0 0 0 0 0 1
72 0 0 0 1 0 0 0 0 0 0 0
73 0 0 0 0 1 1 1 0 0 0 1
74 0 0 0 0 1 0 0 0 1 0 1
75 0 0 0 0 1 0 0 0 0 0 1
76 0 0 0 0 1 1 0 0 0 0 1
77 0 0 0 0 1 0 0 0 0 0 1
78 0 0 0 0 1 0 0 0 0 0 0
79 0 0 0 0 1 1 1 1 0 0 0
80 0 0 0 0 1 0 0 0 0 0 0
81 0 0 0 0 1 0 0 0 0 0 0
82 0 0 0 0 1 0 0 0 0 0 0
83 0 0 0 0 1 1 0 0 0 0 0
84 0 0 0 0 1 0 0 0 0 0 0
85 0 0 0 0 1 0 0 0 1 1 1
86 0 0 0 0 1 1 1 0 0 0 1
87 0 0 0 0 1 0 0 0 0 0 0
88 0 0 0 0 1 0 1 0 0 0 0
89 0 0 0 0 1 0 1 0 0 0 1
90 0 0 0 0 1 0 0 0 0 0 0
答案 0 :(得分：1)
也许这会对你有帮助。
我的虚拟数据：
df <- data.frame(tag1 = sample(0:1, 10, replace = T),
tag2 = sample(0:1, 10, replace = T),
tag3 = sample(0:1, 10, replace = T),
tag4 = sample(0:1, 10, replace = T),
sex = sample(0:1, 10, replace = T))
首先，让你的矩阵成为一个data.frame（如果它还没有）：
df <- as.data.frame(your_matrix)
然后，使用tidyr::gather，dplyr::group_by和dplyr::tally：
library(dplyr); library(tidyr)
#make it "long" format
df2 <- gather(df, key = "tag", value = "value", -sex)
# tally by the grouping variables
df2 %>% group_by(sex, tag) %>% tally()
Source: local data frame [8 x 3]
Groups: sex [?]
sex tag n
<int> <chr> <int>
1 0 tag1 6
2 0 tag2 6
3 0 tag3 6
4 0 tag4 6
5 1 tag1 4
6 1 tag2 4
7 1 tag3 4
8 1 tag4 4