我有以下数据框：
df <- as_tibble(c(15:-15))
现在，我想在新列中添加间隔。间隔应该是这样的：
df$Intervall <- cut(df$value, seq(from = -15, to = 15, by = 5), include.lowest=TRUE)
value Intervall
1 15 (10,15]
2 14 (10,15]
3 13 (10,15]
4 12 (10,15]
5 11 (10,15]
6 10 (5,10]
7 9 (5,10]
8 8 (5,10]
9 7 (5,10]
10 6 (5,10]
11 5 (0,5]
12 4 (0,5]
13 3 (0,5]
14 2 (0,5]
15 1 (0,5]
16 0 (-5,0]
17 -1 (-5,0]
18 -2 (-5,0]
19 -3 (-5,0]
20 -4 (-5,0]
21 -5 (-10,-5]
22 -6 (-10,-5]
23 -7 (-10,-5]
24 -8 (-10,-5]
25 -9 (-10,-5]
26 -10 [-15,-10]
27 -11 [-15,-10]
28 -12 [-15,-10]
29 -13 [-15,-10]
30 -14 [-15,-10]
31 -15 [-15,-10]
结果有一个问题，即值中的所有零（0）都进入时间间隔-0：-5，这使其失去了正负值之间的对称性。5是时间间隔0.5，但-5是时间间隔-10：-5。
我希望每个0为intervall 0或0：0，所以我具有对称性，-5为interval 0：-5。
结果应如下所示：
value Intervall
1 15 (10,15]
2 14 (10,15]
3 13 (10,15]
4 12 (10,15]
5 11 (10,15]
6 10 (5,10]
7 9 (5,10]
8 8 (5,10]
9 7 (5,10]
10 6 (5,10]
11 5 (0,5]
12 4 (0,5]
13 3 (0,5]
14 2 (0,5]
15 1 (0,5]
16 0 (0,0]
17 -1 (-5,0]
18 -2 (-5,0]
19 -3 (-5,0]
20 -4 (-5,0]
21 -5 (-5,0]
22 -6 (-10,-5]
23 -7 (-10,-5]
24 -8 (-10,-5]
25 -9 (-10,-5]
26 -10 (-10,-5]
27 -11 [-15,-10]
28 -12 [-15,-10]
29 -13 [-15,-10]
30 -14 [-15,-10]
31 -15 [-15,-10]
jay.sf解决方案适用于此小样本数据帧。对于我的更大的实际数据框来说，这是不切实际的。因此，我真的很想减少和添加例外，而不是手动进行。我不确定，这怎么可能。
Mabe可以在0周围减去并加上0.5。
cut(15:-15, c(seq(-15,0,5) - 0.5, 0.5 + seq(0,15,5)))
# [1] (10.5,15.5] (10.5,15.5] (10.5,15.5] (10.5,15.5] (10.5,15.5]
# [6] (5.5,10.5] (5.5,10.5] (5.5,10.5] (5.5,10.5] (5.5,10.5]
#[11] (0.5,5.5] (0.5,5.5] (0.5,5.5] (0.5,5.5] (0.5,5.5]
#[16] (-0.5,0.5] (-5.5,-0.5] (-5.5,-0.5] (-5.5,-0.5] (-5.5,-0.5]
#[21] (-5.5,-0.5] (-10.5,-5.5] (-10.5,-5.5] (-10.5,-5.5] (-10.5,-5.5]
#[26] (-10.5,-5.5] (-15.5,-10.5] (-15.5,-10.5] (-15.5,-10.5] (-15.5,-10.5]
#[31] (-15.5,-10.5]
#7 Levels: (-15.5,-10.5] (-10.5,-5.5] (-5.5,-0.5] (-0.5,0.5] ... (10.5,15.5]
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