tests/testthat/_snaps/photoperiod.md

In LightLogR: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters

gg_photoperiod works

Code
  Plot$data
Output
  # A tibble: 69,120 x 10
  # Groups:   Id [2]
     Id    Datetime             MEDI Day.data Time.data .group dawn               
     <fct> <dttm>              <dbl> <fct>    <time>     <int> <dttm>             
   1 Part~ 2023-08-29 00:00:04     0 29/08    00'04"         2 2023-08-29 06:01:10
   2 Part~ 2023-08-29 00:00:14     0 29/08    00'14"         2 2023-08-29 06:01:10
   3 Part~ 2023-08-29 00:00:24     0 29/08    00'24"         2 2023-08-29 06:01:10
   4 Part~ 2023-08-29 00:00:34     0 29/08    00'34"         2 2023-08-29 06:01:10
   5 Part~ 2023-08-29 00:00:44     0 29/08    00'44"         2 2023-08-29 06:01:10
   6 Part~ 2023-08-29 00:00:54     0 29/08    00'54"         2 2023-08-29 06:01:10
   7 Part~ 2023-08-29 00:01:04     0 29/08    01'04"         2 2023-08-29 06:01:10
   8 Part~ 2023-08-29 00:01:14     0 29/08    01'14"         2 2023-08-29 06:01:10
   9 Part~ 2023-08-29 00:01:24     0 29/08    01'24"         2 2023-08-29 06:01:10
  10 Part~ 2023-08-29 00:01:34     0 29/08    01'34"         2 2023-08-29 06:01:10
  # i 69,110 more rows
  # i 3 more variables: dusk <dttm>, photoperiod <drtn>, photoperiod.state <chr>

Code
  Plot2$data
Output
  # A tibble: 69,120 x 8
  # Groups:   Id [2]
     Id          Datetime             MEDI .group dawn               
     <fct>       <dttm>              <dbl>  <int> <dttm>             
   1 Participant 2023-08-29 00:00:04     0      2 2023-08-29 06:01:10
   2 Participant 2023-08-29 00:00:14     0      2 2023-08-29 06:01:10
   3 Participant 2023-08-29 00:00:24     0      2 2023-08-29 06:01:10
   4 Participant 2023-08-29 00:00:34     0      2 2023-08-29 06:01:10
   5 Participant 2023-08-29 00:00:44     0      2 2023-08-29 06:01:10
   6 Participant 2023-08-29 00:00:54     0      2 2023-08-29 06:01:10
   7 Participant 2023-08-29 00:01:04     0      2 2023-08-29 06:01:10
   8 Participant 2023-08-29 00:01:14     0      2 2023-08-29 06:01:10
   9 Participant 2023-08-29 00:01:24     0      2 2023-08-29 06:01:10
  10 Participant 2023-08-29 00:01:34     0      2 2023-08-29 06:01:10
  # i 69,110 more rows
  # i 3 more variables: dusk <dttm>, photoperiod <drtn>, photoperiod.state <chr>

Code
  Plot3$data
Output
  # A tibble: 126,720 x 9
  # Groups:   Id, Date.data [12]
     Id          Datetime             MEDI Date.data  .group dawn               
     <fct>       <dttm>              <dbl> <date>      <int> <dttm>             
   1 Environment 2023-08-29 00:00:08     0 2023-08-29      1 2023-08-29 06:01:10
   2 Environment 2023-08-29 00:00:38     0 2023-08-29      1 2023-08-29 06:01:10
   3 Environment 2023-08-29 00:01:08     0 2023-08-29      1 2023-08-29 06:01:10
   4 Environment 2023-08-29 00:01:38     0 2023-08-29      1 2023-08-29 06:01:10
   5 Environment 2023-08-29 00:02:08     0 2023-08-29      1 2023-08-29 06:01:10
   6 Environment 2023-08-29 00:02:38     0 2023-08-29      1 2023-08-29 06:01:10
   7 Environment 2023-08-29 00:03:08     0 2023-08-29      1 2023-08-29 06:01:10
   8 Environment 2023-08-29 00:03:38     0 2023-08-29      1 2023-08-29 06:01:10
   9 Environment 2023-08-29 00:04:08     0 2023-08-29      1 2023-08-29 06:01:10
  10 Environment 2023-08-29 00:04:38     0 2023-08-29      1 2023-08-29 06:01:10
  # i 126,710 more rows
  # i 3 more variables: dusk <dttm>, photoperiod <drtn>, photoperiod.state <chr>

Code
  Plot4$data
Output
  # A tibble: 69,120 x 10
  # Groups:   Id [2]
     Id          Datetime             MEDI dawn                dusk               
     <fct>       <dttm>              <dbl> <dttm>              <dttm>             
   1 Participant 2023-08-29 00:00:04     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   2 Participant 2023-08-29 00:00:14     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   3 Participant 2023-08-29 00:00:24     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   4 Participant 2023-08-29 00:00:34     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   5 Participant 2023-08-29 00:00:44     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   6 Participant 2023-08-29 00:00:54     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   7 Participant 2023-08-29 00:01:04     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   8 Participant 2023-08-29 00:01:14     0 2023-08-29 06:01:10 2023-08-29 19:20:36
   9 Participant 2023-08-29 00:01:24     0 2023-08-29 06:01:10 2023-08-29 19:20:36
  10 Participant 2023-08-29 00:01:34     0 2023-08-29 06:01:10 2023-08-29 19:20:36
  # i 69,110 more rows
  # i 5 more variables: photoperiod <drtn>, photoperiod.state <chr>,
  #   Day.data <fct>, Time.data <time>, .group <int>

LightLogR documentation built on April 3, 2025, 10:10 p.m.