在R中查找覆盖值

在上述数据中，Locx1是x的起点，Locx2是x的终点，Locy1是y的起点，Locy2是y的终点。我想找到y值，其中Locy1和Locy2的50%及以上在R中的Locx1和Locx2之间。我该怎么做

例如，第一行适合此示例。y的起点在Locx1和Locx2之间为119，并且148-119/168-119大于%50

谢谢

将x和y的交点长度除以y的全长

数据：

如果我没弄错的话

d1 <- structure(list(ID = 1:6, Locx1 = c(100, 121, 146, 194, 162, 182
), Locy1 = c(119, 173, 104, 164, 188, 142), Locx2 = c(148, 170, 
184, 236, 196, 190), Locy2 = c(168, 180, 120, 210, 190, 213)), class = "data.frame", row.names = c(NA, 
-6L))

---

这是一个有点冗长但希望也更透明的解决方案，其结果与@jay.sf相同

df %>% 
  filter((pmin(Locy2, Locx2) - pmax(Locy1, Locx1)) / (Locx2 - Locx1) >= 0.5)

  ID Locx1 Locx2 Locy1 Locy2
1  1   100   148   119   168
2  6   182   190   142   213

---

由reprex软件包v0.3.0于2020-09-03创建，您可能会发现其他答案很有用。所以我误解了这个问题。你能用你的例子说明你想要的结果吗？

d1 <- structure(list(ID = 1:6, Locx1 = c(100, 121, 146, 194, 162, 182
), Locy1 = c(119, 173, 104, 164, 188, 142), Locx2 = c(148, 170, 
184, 236, 196, 190), Locy2 = c(168, 180, 120, 210, 190, 213)), class = "data.frame", row.names = c(NA, 
-6L))

df %>% 
  filter((pmin(Locy2, Locx2) - pmax(Locy1, Locx1)) / (Locx2 - Locx1) >= 0.5)

  ID Locx1 Locx2 Locy1 Locy2
1  1   100   148   119   168
2  6   182   190   142   213

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

d1<-data.frame(ID=c(1:6),
               Locx1=c(100,121,146,194,162,182),
               Locx2=c(148,170,184,236,196,190),
               Locy1=c(119,173,104,164,188,142),
               Locy2=c(168,180,120,210,190,213))

d2 <- d1 %>% mutate(seqx = purrr::map2(Locx1, Locx2, .f = ~seq(.x, .y, 1)),
                    seqy = purrr::map2(Locy1, Locy2, .f = ~seq(.x, .y, 1)),
                    intersection = purrr::map2(seqx, seqy, .f = ~intersect(.x, .y)),
                    overlap = purrr::map2_dbl(intersection, seqy, .f = ~length(.x)/length(.y)),
                    my_condition = overlap >= 0.5
                    ) 
d2 %>% select(-contains('seq'), -intersection)
#>   ID Locx1 Locx2 Locy1 Locy2   overlap my_condition
#> 1  1   100   148   119   168 0.6000000         TRUE
#> 2  2   121   170   173   180 0.0000000        FALSE
#> 3  3   146   184   104   120 0.0000000        FALSE
#> 4  4   194   236   164   210 0.3617021        FALSE
#> 5  5   162   196   188   190 1.0000000         TRUE
#> 6  6   182   190   142   213 0.1250000        FALSE