我在数据集中有几个(冰)核心部分样本(在下面的示例中为 ID)。有些核心缺少部分(即间隙)，但我不知道是哪些部分。如何使用R找出这一点？

例子:

dt <- structure(list(ID = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L,  
3L, 3L, 3L), .Label = c("a", "b", "c"), class = "factor"), Sec.start = c(0,  
5, 10, 20, 50, 100, 200, 0, 5, 10, 30), Sec.end = c(5, 10, 20,  
30, 100, 200, 400, 5, 10, 20, 50), Section = c("0-5", "5-10",  
"10-20", "20-30", "50-100", "100-200", "200-400", "0-5", "5-10",  
"10-20", "30-50")), .Names = c("ID", "Sec.start", "Sec.end",  
"Section"), row.names = c(NA, -11L), class = "data.frame") 
 
dt 
 
    ID Sec.start Sec.end Section 
1   a         0       5     0-5 
2   a         5      10    5-10 
3   a        10      20   10-20 
4   a        20      30   20-30 
5   b        50     100  50-100 
6   b       100     200 100-200 
7   b       200     400 200-400 
8   c         0       5     0-5 
9   c         5      10    5-10 
10  c        10      20   10-20 
11  c        30      50   30-50 

$a 
[1] TRUE 
 
$b 
[1] TRUE 
 
$c 
[1] FALSE 

请您参考如下方法:

你可以试试:

lapply(split(dt,dt$ID),function(x) all(x[-1,2]==x[-nrow(x),3])) 
#$a 
#[1] TRUE 
#$b 
#[1] TRUE 
#$c 
#[1] FALSE