使用R中的foverlaps选择分数最高的范围ID

Question

我想foverlaps在一个值位于重叠范围之间的设置中,使用从单独列中获取的最大数量的范围ID .虽然我对包的基本设置非常熟悉,但我找不到执行上述功能的方法.

这是一个小例子

>df1
AthleteID  Distance
Athlete1   5
Athlete2   10
Athlete3   25

>df2
CheckpointID   Start   End Score
Checkpoint1    1       8   2
Checkpoint2    7       12  4
Checkpoint3    9       15  6
Checkpoint4    16      26  8
Checkpoint5    20      30  10

根据以上内容,最终的data.frame应如下所示

>df1
AthleteID  Distance   Score  CheckpointID
Athlete1   5          2      Checkpoint1
Athlete2   10         6      Checkpoint3
Athlete3   25         10     Checkpoint5

=========================

编辑

最后一个问题; 我也有兴趣了解如何根据运动员ID使用不同的检查点分数(相同的间隔).这是一个修改过的分数表

>df2
CheckpointID   AthleteID   Start   End Score
Checkpoint1    Athlete1    1       8   2
Checkpoint2    Athlete1    7       12  4
Checkpoint3    Athlete1    9       15  6
Checkpoint4    Athlete1    16      26  8
Checkpoint5    Athlete1    20      30  10
Checkpoint1    Athlete2    1       8   3
Checkpoint2    Athlete2    7       12  5
Checkpoint3    Athlete2    9       15  7
Checkpoint4    Athlete2    16      26  9
Checkpoint5    Athlete2    20      30  11
Checkpoint1    Athlete3    1       8   1
Checkpoint2    Athlete3    7       12  3
Checkpoint3    Athlete3    9       15  5
Checkpoint4    Athlete3    16      26  7
Checkpoint5    Athlete3    20      30  11

所以最后的结果是这样的

>df1
AthleteID  Distance   Score  CheckpointID
Athlete1   5          2      Checkpoint1
Athlete2   10         7      Checkpoint3
Athlete3   25         11     Checkpoint5

Answer 1

您也可以使用新实现的方法来完成 non-equi连接来这应该更直接...

y[x, on = .(Start <= Distance, End >= Distance), mult = "last", 
    .(AthleteID, Distance, Score, CheckpointID)]

哪里,

x=fread("AthleteID  Distance
        Athlete1   5
        Athlete2   10
        Athlete3   25
        ")
y=fread("CheckpointID   Start   End Score
    Checkpoint1    1       8   2
    Checkpoint2    7       12  4
    Checkpoint3    9       15  6
    Checkpoint4    16      26  8
    Checkpoint5    20      30  10
    ")