tests/testthat/_snaps/face-spatial-temporal.md

face_spatial() and face_temporal() works

Code
  face_temporal(climate_mel)
Output
  # cubble:   key: id [3], index: date, long form
  # temporal: 2020-01-01 -- 2020-01-10 [1D], no gaps
  # spatial:  long [dbl], lat [dbl], elev [dbl], name [chr], wmo_id [dbl]
     id          date        prcp  tmax  tmin
     <chr>       <date>     <dbl> <dbl> <dbl>
   1 ASN00086038 2020-01-01     0  26.8  11  
   2 ASN00086038 2020-01-02     0  26.3  12.2
   3 ASN00086038 2020-01-03     0  34.5  12.7
   4 ASN00086038 2020-01-04     0  29.3  18.8
   5 ASN00086038 2020-01-05    18  16.1  12.5
   6 ASN00086038 2020-01-06   104  17.5  11.1
   7 ASN00086038 2020-01-07    14  20.7  12.1
   8 ASN00086038 2020-01-08     0  26.4  16.4
   9 ASN00086038 2020-01-09     0  33.1  17.4
  10 ASN00086038 2020-01-10     0  34    19.6
  # i 20 more rows
Code
  face_spatial(face_temporal(climate_mel))
Condition
  Warning:
  Using an external vector in selections was deprecated in tidyselect 1.1.0.
  i Please use `all_of()` or `any_of()` instead.
    # Was:
    data %>% select(key_name)

    # Now:
    data %>% select(all_of(key_name))

  See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
Output
  # cubble:   key: id [3], index: date, nested form
  # spatial:  [144.83, -37.98, 145.1, -37.67], Missing CRS!
  # temporal: date [date], prcp [dbl], tmax [dbl], tmin [dbl]
    id           long   lat  elev name              wmo_id ts               
    <chr>       <dbl> <dbl> <dbl> <chr>              <dbl> <list>           
  1 ASN00086038  145. -37.7  78.4 essendon airport   95866 <tibble [10 x 4]>
  2 ASN00086077  145. -38.0  12.1 moorabbin airport  94870 <tibble [10 x 4]>
  3 ASN00086282  145. -37.7 113.  melbourne airport  94866 <tibble [10 x 4]>


huizezhang-sherry/cubble documentation built on Oct. 15, 2024, 8:12 a.m.