Convert a Praat Intensity tier to a dataframe.
Examples
intensity_to_df(system.file("extdata", "test.Intensity", package = "phonfieldwork"))
#> time_start time_end intensity
#> 1 0.000000000 0.000000000 39.30749
#> 2 0.008940764 0.008940764 38.87412
#> 3 0.017881527 0.017881527 38.57424
#> 4 0.026822291 0.026822291 37.93917
#> 5 0.035763054 0.035763054 39.22305
#> 6 0.044703818 0.044703818 40.04061
#> 7 0.053644581 0.053644581 38.85294
#> 8 0.062585345 0.062585345 36.54414
#> 9 0.071526108 0.071526108 40.37141
#> 10 0.080466872 0.080466872 47.55616
#> 11 0.089407635 0.089407635 56.62113
#> 12 0.098348399 0.098348399 60.88946
#> 13 0.107289162 0.107289162 61.37729
#> 14 0.116229926 0.116229926 59.38835
#> 15 0.125170689 0.125170689 56.96737
#> 16 0.134111453 0.134111453 55.55835
#> 17 0.143052216 0.143052216 54.26911
#> 18 0.151992980 0.151992980 52.50135
#> 19 0.160933743 0.160933743 51.27701
#> 20 0.169874507 0.169874507 50.54501
#> 21 0.178815270 0.178815270 50.67041
#> 22 0.187756034 0.187756034 51.64555
#> 23 0.196696797 0.196696797 50.55749
#> 24 0.205637561 0.205637561 50.53060
#> 25 0.214578324 0.214578324 52.51058
#> 26 0.223519088 0.223519088 54.85600
#> 27 0.232459852 0.232459852 61.17698
#> 28 0.241400615 0.241400615 65.93068
#> 29 0.250341379 0.250341379 68.14527
#> 30 0.259282142 0.259282142 68.94030
#> 31 0.268222906 0.268222906 69.47599
#> 32 0.277163669 0.277163669 69.66139
#> 33 0.286104433 0.286104433 69.35156
#> 34 0.295045196 0.295045196 69.12312
#> 35 0.303985960 0.303985960 69.41106
#> 36 0.312926723 0.312926723 69.74102
#> 37 0.321867487 0.321867487 69.52651
#> 38 0.330808250 0.330808250 68.86931
#> 39 0.339749014 0.339749014 68.23661
#> 40 0.348689777 0.348689777 68.17743
#> 41 0.357630541 0.357630541 67.71186
#> 42 0.366571304 0.366571304 66.70133
#> 43 0.375512068 0.375512068 65.77517
#> 44 0.384452831 0.384452831 65.40704
#> 45 0.393393595 0.393393595 64.84207
#> 46 0.402334358 0.402334358 63.81003
#> 47 0.411275122 0.411275122 63.33876
#> 48 0.420215885 0.420215885 62.76678
#> 49 0.429156649 0.429156649 61.62731
#> 50 0.438097412 0.438097412 59.56992
#> 51 0.447038176 0.447038176 58.34945
#> 52 0.455978940 0.455978940 58.61335
#> 53 0.464919703 0.464919703 58.46972
#> 54 0.473860467 0.473860467 58.35225
#> 55 0.482801230 0.482801230 58.60761
#> 56 0.491741994 0.491741994 58.54995
#> 57 0.500682757 0.500682757 58.98097
#> 58 0.509623521 0.509623521 59.06485
#> 59 0.518564284 0.518564284 57.20696
#> 60 0.527505048 0.527505048 56.23815
#> 61 0.536445811 0.536445811 55.88090
#> 62 0.545386575 0.545386575 53.39294
#> 63 0.554327338 0.554327338 50.74157
#> 64 0.563268102 0.563268102 51.23953
#> 65 0.572208865 0.572208865 52.11645
#> 66 0.581149629 0.581149629 51.88973
#> 67 0.590090392 0.590090392 51.05982
#> 68 0.599031156 0.599031156 50.36096
#> 69 0.607971919 0.607971919 50.56470
#> 70 0.616912683 0.616912683 51.59961
#> 71 0.625853446 0.625853446 51.62710
#> 72 0.634794210 0.634794210 50.68025
#> 73 0.643734973 0.643734973 49.64369
#> 74 0.652675737 0.652675737 48.73534