son*_*.ra 3 r range subset data.table
我想得到一个介于多个范围之间的值列表.
library(data.table)
values <- data.table(value = c(1:100))
range <- data.table(start = c(6, 29, 87), end = c(10, 35, 92))
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我需要结果只包含介于这些范围之间的值:
results <- c(6, 7, 8, 9, 10, 29, 30, 31, 32, 33, 34, 35, 87, 88, 89, 90, 91, 92)
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我目前正在使用for循环,
results <- data.table(NULL)
for (i in 1:NROW(range){
results <- rbind(results,
data.table(result = values[value >= range[i, start] &
value <= range[i, end], value]))}
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但实际数据集非常大,我正在寻找一种更有效的方法.
任何建议表示赞赏!谢谢!
如果您拥有data.table的最新CRAN版本,则可以使用非equi连接.例如,您可以创建一个索引,然后可以使用该索引对原始数据进行子集化:
idx <- values[range, on = .(value >= start, value <= end), which = TRUE]
# [1] 6 7 8 9 10 29 30 31 32 33 34 35 87 88 89 90 91 92
values[idx]
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使用非equi连接的可能性data.table
:
values[range, on = .(value >= start, value <= end), .(results = x.value)]
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这使:
results
1: 6
2: 7
3: 8
4: 9
5: 10
6: 29
7: 30
8: 31
9: 32
10: 33
11: 34
12: 35
13: 87
14: 88
15: 89
16: 90
17: 91
18: 92
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或者根据@Henrik的建议:values[value %inrange% range]
.这对于包含多列的data.table也非常有效:
# create new data
set.seed(26042017)
values2 <- data.table(value = c(1:100), let = sample(letters, 100, TRUE), num = sample(100))
> values2[value %inrange% range]
value let num
1: 6 v 70
2: 7 f 77
3: 8 u 21
4: 9 x 66
5: 10 g 58
6: 29 f 7
7: 30 w 48
8: 31 c 50
9: 32 e 5
10: 33 c 8
11: 34 y 19
12: 35 s 97
13: 87 j 80
14: 88 o 4
15: 89 h 65
16: 90 c 94
17: 91 k 22
18: 92 g 46
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