Convert .eaf file from ELAN to a dataframe.
Value
a dataframe with columns: tier, id, content,
tier_name, tier_type, tier_ref, event_local_id,
dependent_on, time_start, time_end, source, media_url
and attributes: MEDIA_URL, MIME_TYPE, RELATIVE_MEDIA_URL.
Examples
eaf_to_df(system.file("extdata", "test.eaf", package = "phonfieldwork"))
#> tier id content tier_name
#> 12 1 1 intervals
#> 13 2 1 empty_intervals
#> 14 1 2 t intervals
#> 1 2 2 C empty_intervals
#> 8 3 1 this is just a basic sentence nothing special sentence
#> 2 1 3 e intervals
#> 3 2 3 V empty_intervals
#> 4 1 4 s intervals
#> 5 2 4 C empty_intervals
#> 6 1 5 t intervals
#> 7 2 5 C empty_intervals
#> 10 1 6 intervals
#> 11 2 6 empty_intervals
#> 9 3 2 one more sentence sentence
#> tier_type id_ tier_ref event_local_id dependent_on time_start time_end
#> 12 praat 1 <NA> a1 <NA> 0.000 0.012
#> 13 praat 7 <NA> a7 <NA> 0.000 0.012
#> 14 praat 2 <NA> a2 <NA> 0.012 0.248
#> 1 praat 8 <NA> a8 <NA> 0.012 0.248
#> 8 praat 13 <NA> a13 <NA> 0.017 9.376
#> 2 praat 3 <NA> a3 <NA> 0.248 0.396
#> 3 praat 9 <NA> a9 <NA> 0.248 0.396
#> 4 praat 4 <NA> a4 <NA> 0.396 0.512
#> 5 praat 10 <NA> a10 <NA> 0.396 0.512
#> 6 praat 5 <NA> a5 <NA> 0.512 0.652
#> 7 praat 11 <NA> a11 <NA> 0.512 0.652
#> 10 praat 6 <NA> a6 <NA> 0.652 300.000
#> 11 praat 12 <NA> a12 <NA> 0.652 300.000
#> 9 praat 14 <NA> a14 <NA> 11.690 26.461
#> source media_url
#> 12 test.eaf <NA>
#> 13 test.eaf <NA>
#> 14 test.eaf <NA>
#> 1 test.eaf <NA>
#> 8 test.eaf <NA>
#> 2 test.eaf <NA>
#> 3 test.eaf <NA>
#> 4 test.eaf <NA>
#> 5 test.eaf <NA>
#> 6 test.eaf <NA>
#> 7 test.eaf <NA>
#> 10 test.eaf <NA>
#> 11 test.eaf <NA>
#> 9 test.eaf <NA>