为什么`select_if(., is_double)` 返回日期?

Mok*_*ire 2 r lubridate dplyr

使用is_doublewith 时select_if,返回值包括 lubridatedate数据类型的列。为什么是这样?

这是一个使用该today()函数的简单示例。

library(tidyverse)
library(lubridate)

mtcars %>% 
    as_tibble() %>% # Convert to tibble
    mutate(today = today()) %>% # Create a date column
    select_if(is_double) # Select double columns
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输出:

# A tibble: 32 x 12
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb today     
   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <date>    
 1  21       6  160    110  3.9   2.62  16.5     0     1     4     4 2020-06-25
 2  21       6  160    110  3.9   2.88  17.0     0     1     4     4 2020-06-25
 3  22.8     4  108     93  3.85  2.32  18.6     1     1     4     1 2020-06-25
 4  21.4     6  258    110  3.08  3.22  19.4     1     0     3     1 2020-06-25
 5  18.7     8  360    175  3.15  3.44  17.0     0     0     3     2 2020-06-25
 6  18.1     6  225    105  2.76  3.46  20.2     1     0     3     1 2020-06-25
 7  14.3     8  360    245  3.21  3.57  15.8     0     0     3     4 2020-06-25
 8  24.4     4  147.    62  3.69  3.19  20       1     0     4     2 2020-06-25
 9  22.8     4  141.    95  3.92  3.15  22.9     1     0     4     2 2020-06-25
10  19.2     6  168.   123  3.92  3.44  18.3     1     0     4     4 2020-06-25
# ... with 22 more rows
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希望我错过了一些简单的东西,日期是否被识别为双精度型?

akr*_*run 5

因为,date在内部存储为double

typeof(today())
#[1] "double"
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虽然它class是“日期”

class(today())
#[1] "Date"
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一个选项是添加另一个条件 select_if

library(dplyr)
mtcars %>% 
     as_tibble %>%
     mutate(today = today()) %>% 
     select_if(~ is_double(.) && !inherits(., "Date"))
# A tibble: 32 x 10
#     mpg  disp    hp  drat    wt  qsec    vs    am  gear  carb
#   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
# 1  21    160    110  3.9   2.62  16.5     0     1     4     4
# 2  21    160    110  3.9   2.88  17.0     0     1     4     4
# 3  22.8  108     93  3.85  2.32  18.6     1     1     4     1
# 4  21.4  258    110  3.08  3.22  19.4     1     0     3     1
# 5  18.7  360    175  3.15  3.44  17.0     0     0     3     2
# 6  18.1  225    105  2.76  3.46  20.2     1     0     3     1
# 7  14.3  360    245  3.21  3.57  15.8     0     0     3     4
# 8  24.4  147.    62  3.69  3.19  20       1     0     4     2
# 9  22.8  141.    95  3.92  3.15  22.9     1     0     4     2
#10  19.2  168.   123  3.92  3.44  18.3     1     0     4     4
# … with 22 more rows
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dplyr1.0.0 中,我们还可以使用wherewithselect

mtcars %>% 
   as_tibble %>% 
   mutate(today = today()) %>%
   select(where(~is_double(.) && !inherits(., "Date")))
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