我在R中说有一个data.table df。
row.number <- c(1:20)
a <- c(rep("A", 10), rep("B", 10))
b <- c(sample(c(0:100), 20, replace = TRUE))
df <-data.table(row.number,a,b)
df
row.number a b
1 1 A 14
2 2 A 59
3 3 A 39
4 4 A 22
5 5 A 75
6 6 A 89
7 7 A 11
8 8 A 88
9 9 A 22
10 10 A 6
11 11 B 37
12 12 B 42
13 13 B 39
14 14 B 8
15 15 B 74
16 16 B 67
17 17 B 18
18 18 B 12
19 19 B 56
20 20 B 21
我想接受&#39; n&#39;在按照b列的递增顺序排列记录之后,从中间开始行(比如10)。
答案 0 :(得分:1)
使用setorder
进行排序,.N
进行过滤:
setorder(df, b)[(.N/2 - 10/2):(.N/2 + 10/2 - 1), ]
row.number a b
1: 11 B 36
2: 5 A 38
3: 8 A 41
4: 18 B 43
5: 1 A 50
6: 12 B 51
7: 15 B 54
8: 3 A 55
9: 20 B 59
10: 4 A 60
答案 1 :(得分:0)
您可以使用以下代码
library(data.table)
set.seed(9876) # for reproducibility
# your data
row.number <- c(1:20)
a <- c(rep("A", 10), rep("B", 10))
b <- c(sample(c(0:100), 20, replace = TRUE))
df <- data.table(row.number,a,b)
df
# define how many to select and store in n
n <- 10
# calculate how many to cut off at start and end
n_not <- (nrow(df) - n )/2
# use data.tables setorder to arrange based on column b
setorder(df, b)
# select the rows wanted based on n
df[ (n_not+1):(nr-n_not), ]
请告诉我这是否是你想要的。