purrr loop: Error: Problem with `mutate()` input `combined_data`. x `x` and `y` must share the same src, set `copy` = TRUE (may be slow)

Question

我试图创建一个可重现的示例，但令人沮丧的是这实际上有效：

my_mtcars <- mtcars %>% 
  rownames_to_column('car') %>% 
  group_by(vs) %>% 
  nest

my_mtcars <- my_mtcars %>% 
  mutate(lhs = map(.x = data, ~ .x %>% select(car:drat))) %>% 
  mutate(rhs = map(.x = data, ~ .x %>% select(car, wt:carb) %>% rename(model = car))) %>% 
  mutate(together_again = map2(.x = lhs, .y = rhs, ~ inner_join(.x, .y, by = c('car' = 'model'))))

以上内容有效，但简而言之显示了我试图用我的真实数据做的事情。我的包含列表列的实际数据框无法通过内部连接发生变化，我希望通过在此处描述和显示一些匿名数据，有人可能会提出建议。

我的数据框pdata:

data
# A tibble: 104 x 7
   MONETIZATION_WEEK_COHORT data                   cut_off clv_obj          model            prediction       training_period_metrics
   <date>                   <list>                   <int> <list>           <list>           <list>           <list>                 
 1 2020-03-30               <tibble [214,509 × 9]>       7 <named list [2]> <named list [2]> <named list [2]> <tibble [7,328 × 3]>   
 2 2020-03-30               <tibble [214,509 × 9]>       8 <named list [2]> <named list [2]> <named list [2]> <tibble [7,328 × 3]>   
 3 2020-04-06               <tibble [496,626 × 9]>       7 <named list [2]> <named list [2]> <named list [2]> <tibble [20,060 × 3]>  
 4 2020-04-06               <tibble [496,626 × 9]>       8 <named list [2]> <named list [2]> <named list [2]> <tibble [20,060 × 3]>  
 5 2020-04-13               <tibble [595,775 × 9]>       7 <named list [2]> <named list [2]> <named list [2]> <tibble [25,816 × 3]>  
 6 2020-04-13               <tibble [595,775 × 9]>       8 <named list [2]> <named list [2]> <named list [2]> <tibble [25,816 × 3]>  
 7 2020-04-20               <tibble [548,436 × 9]>       7 <named list [2]> <named list [2]> <named list [2]> <tibble [22,161 × 3]>  
 8 2020-04-20               <tibble [548,436 × 9]>       8 <named list [2]> <named list [2]> <named list [2]> <tibble [22,161 × 3]>  
 9 2020-04-27               <tibble [529,507 × 9]>       7 <named list [2]> <named list [2]> <named list [2]> <tibble [21,113 × 3]>  
10 2020-04-27               <tibble [529,507 × 9]>       8 <named list [2]> <named list [2]> <named list [2]> <tibble [21,113 × 3]>

我正在尝试将预测与每一行的训练期指标结合起来。这是这两个字段的示例，它们都是数据帧：

下面map2中的.y字段：

 pdata$prediction[[1]]$result %>% head(2) %>% glimpse
Rows: 2
Columns: 11
$ Id                      <chr> "123abc", "def456"
$ period.first            <date> 2020-05-21, 2020-05-21
$ period.last             <date> 2020-08-26, 2020-08-26
$ period.length           <int> 14, 14
$ actual.x                <int> 0, 0
$ actual.total.spending   <dbl> 0, 0
$ PAlive                  <dbl> 0.72933712, 0.05683547
$ CET                     <dbl> 19.2692978, 0.1285307
$ DERT                    <dbl> 13.37550762, 0.08921192
$ predicted.mean.spending <dbl> 839.648, 1017.683
$ predicted.CLV           <dbl> 11230.71800, 90.78944

下面map2中的.x字段：

pdata$training_period_metrics[[1]] %>% head(2) %>% glimpse
Rows: 2
Columns: 3
$ S              <chr> "abc123", "def456"
$ Transactions   <int> 40, 3
$ Total_Spending <dbl> 14660, 1797

我正在尝试将它们作为新列加入到数据框中：

pdata %>% mutate(combined_data = map2(.x = training_period_metrics, .y = prediction, ~ inner_join(.x, .y$result, by = c('S' = 'Id'))))
Error: Problem with `mutate()` input `combined_data`.
x `x` and `y` must share the same src, set `copy` = TRUE (may be slow).
ℹ Input `combined_data` is `map2(...)`.

如何在我的 purrr 循环中加入 prediction$result 和 training_period_metrics？

Answer 1

只有当 .x 和 .y 都不是 NULL 或 return NULL

时，我们才能使用条件进行连接

my_mtcars %>%
    mutate(together_again = map2(.x = lhs, .y = rhs,
  ~ if(is.null(unlist(.x))|is.null(unlist(.y))) list(NULL) else
        inner_join(.x, .y, by = c('car' = 'model'))))

purrr loop: Error: Problem with `mutate()` input `combined_data`. x `x` and `y` must share the same src, set `copy` = TRUE (may be slow)

purrr loop: Error: Problem with `mutate()` input `combined_data`. x `x` and `y` must share the same src, set `copy` = TRUE (may be slow)

r

dplyr

purrr