This dataset is most useful for normalization purposes, since it contains data on both stressed and post-tonic vowels in a single format
1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | 'data.frame': 5534 obs. of 19 variables:
$ speaker : Factor w/ 8 levels "Sp1","Sp2","Sp3",..: 1 1 1 1 1 1 1 1 1 1 ...
$ v : Factor w/ 6 levels "i","\\sw","e",..: 4 1 4 3 3 2 2 1 4 5 ...
$ v.f1 : num 422 517 709 943 813 ...
$ v.f2 : num 655 2314 997 2345 1549 ...
$ v.dur : num 0.103 0.0279 0.0355 0.0421 0.0576 ...
$ vh.dur : num 0.103 0.0549 0.101 0.0692 0.1043 ...
$ context : Factor w/ 5 levels "short","cluster",..: 3 1 1 1 1 4 2 3 3 1 ...
$ pos : chr "v1" "v1" "v1" "v1" ...
$ ctx : Factor w/ 3 levels "short","long",..: 2 1 1 1 1 1 1 2 2 1 ...
$ v.f1.mean : num 578 578 578 578 578 ...
$ v.f2.mean : num 1931 1931 1931 1931 1931 ...
$ v.f1.sd : num 220 220 220 220 220 ...
$ v.f2.sd : num 789 789 789 789 789 ...
$ v.dur.mean : num 0.13 0.13 0.13 0.13 0.13 ...
$ v.dur.sd : num 0.0596 0.0596 0.0596 0.0596 0.0596 ...
$ vh.dur.mean: num 0.136 0.136 0.136 0.136 0.136 ...
$ vh.dur.sd : num 0.0544 0.0544 0.0544 0.0544 0.0544 ...
$ v.dur.norm : num -0.445 -1.705 -1.577 -1.466 -1.206 ...
$ vh.dur.norm: num -0.599 -1.483 -0.636 -1.221 -0.575 ...
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.