Cleaning metadata can take a series of tries. This function helps summarize and explore the metadata for possible patterns which may help find problems.
Arguments
- meta
Data frame. Recording metadata. Output of
clean_metadata().- date
Logical. Whether to summarize output by date (as well as
site_idandaru_id. DefaultFALSE.
Value
A data frame summarizing the metadata by site_id, aru_type, aru_id, and (optionally) by date. Presents the number of files, directories, and days worth of recordings, as well as the minimum and maximum recording times.
Examples
m <- clean_metadata(project_files = example_files)
#> Extracting ARU info...
#> Extracting Dates and Times...
check_meta(m)
#> # A tibble: 10 × 11
#> site_id aru_type aru_id type n_files n_dirs n_days min_date
#> <chr> <chr> <chr> <chr> <int> <int> <int> <dttm>
#> 1 P01_1 BARLT BARLT10962 wav 6 3 2 2020-05-02 05:00:00
#> 2 P02_1 SongMeter S4A01234 wav 6 3 2 2020-05-04 05:25:00
#> 3 P03_1 BARLT BARLT10962 wav 3 3 1 2020-05-06 10:00:00
#> 4 P04_1 BARLT BARLT11111 wav 6 3 2 2020-05-06 05:00:00
#> 5 P05_1 BARLT BARLT10962 wav 3 3 1 2020-05-07 05:00:00
#> 6 P06_1 BARLT BARLT10962 wav 3 3 1 2020-05-09 05:20:00
#> 7 P07_1 SongMeter S4A01234 wav 6 3 2 2020-05-09 05:25:00
#> 8 P08_1 BARLT BARLT10962 wav 3 3 1 2020-05-11 10:00:00
#> 9 P09_1 SongMeter S4A02222 wav 3 3 1 2020-05-11 05:00:00
#> 10 P10_1 SongMeter S4A03333 wav 3 3 1 2020-05-11 03:25:00
#> # ℹ 3 more variables: max_date <dttm>, min_time <time>, max_time <time>
check_meta(m, date = TRUE)
#> # A tibble: 14 × 10
#> site_id aru_type aru_id type date n_files n_dirs n_days min_time
#> <chr> <chr> <chr> <chr> <date> <int> <int> <int> <time>
#> 1 P01_1 BARLT BARLT10962 wav 2020-05-02 3 3 1 05:00
#> 2 P01_1 BARLT BARLT10962 wav 2020-05-03 3 3 1 05:20
#> 3 P02_1 SongMeter S4A01234 wav 2020-05-04 3 3 1 05:25
#> 4 P02_1 SongMeter S4A01234 wav 2020-05-05 3 3 1 07:30
#> 5 P03_1 BARLT BARLT10962 wav 2020-05-06 3 3 1 10:00
#> 6 P04_1 BARLT BARLT11111 wav 2020-05-06 3 3 1 05:00
#> 7 P04_1 BARLT BARLT11111 wav 2020-05-07 3 3 1 03:25
#> 8 P05_1 BARLT BARLT10962 wav 2020-05-07 3 3 1 05:00
#> 9 P06_1 BARLT BARLT10962 wav 2020-05-09 3 3 1 05:20
#> 10 P07_1 SongMeter S4A01234 wav 2020-05-09 3 3 1 05:25
#> 11 P07_1 SongMeter S4A01234 wav 2020-05-10 3 3 1 07:30
#> 12 P08_1 BARLT BARLT10962 wav 2020-05-11 3 3 1 10:00
#> 13 P09_1 SongMeter S4A02222 wav 2020-05-11 3 3 1 05:00
#> 14 P10_1 SongMeter S4A03333 wav 2020-05-11 3 3 1 03:25
#> # ℹ 1 more variable: max_time <time>