我推断行顺序很重要。既然你没有任何暗示，我们将添加一个。

library(dplyr)
df <- mutate(df, rn = row_number())
df %>%
  filter(Region == "!UK") %>%
  transmute(House, rn = rn - 0.1) %>%
  bind_rows(df, .) %>%
  mutate(House = if_else(Region %in% "!UK", House[NA], House)) %>%
  arrange(rn)
# # A tibble: 11 × 5
#    Region  lock type   House                                 rn
#    <chr>  <dbl> <chr>  <chr>                              <dbl>
#  1 AU         1 sale   Tagore house                         1  
#  2 USA        1 <NA>   Gandhi house                         2  
#  3 CA        NA <NA>   <NA>                                 3  
#  4 USA        1 target Flexible;Tagore house;Gandhi house   4  
#  5 <NA>      NA <NA>   Tagore house                         4.9
#  6 !UK       NA target <NA>                                 5  
#  7 AU         1 <NA>   <NA>                                 6  
#  8 USA       NA sale   Flexible;Gandhi house                7  
#  9 CA         1 <NA>   Gandhi house                         8  
# 10 <NA>      NA <NA>   Gandhi house                         8.9
# 11 !UK       NA target <NA>                                 9

如果需要的话，可以使用select(-rn)（我保留它只是为了解释）。