README.md

In kleinschmidt/healdvowels: Data package: summary statistics for Heald and Nusbaum (2015) vowels

headlvowels: Distributions of vowels from Heald and Nusbaum (2015)

Heald, S. L. M., & Nusbaum, H. C. (2015). Variability in vowel production within and between days. PLoS ONE, 10(9), e0136791–e0136791. doi:10.1371/journal.pone.0136791

Installation

devtools::install_github("kleinschmidt/healdvowels")

Use

Because of human subjects protections, only aggregate summaries of vowel formants are included, in the form of means and covariance matrices for each vowel, conditioned on:

• Time of day:

  ``` r healdvowels::by_time

  > # A tibble: 21 x 4

  > Vowel Time model Vowel_ascii

  >

  > 1 æ t1 AE

  > 2 æ t2 AE

  > 3 æ t3 AE

  > 4 ɑ t1 AH

  > 5 ɑ t2 AH

  > 6 ɑ t3 AH

  > 7 i t1 EE

  > 8 i t2 EE

  > 9 i t3 EE

  > 10 ɛ t1 EH

  > # ... with 11 more rows

  ```

• Speaker

  ``` r healdvowels::by_speaker

  > # A tibble: 56 x 4

  > Speaker Vowel model Vowel_ascii

  >

  > 1 1 æ AE

  > 2 1 ɑ AH

  > 3 1 i EE

  > 4 1 ɛ EH

  > 5 1 ɪ IH

  > 6 1 u OO

  > 7 1 ʌ UH

  > 8 2 æ AE

  > 9 2 ɑ AH

  > 10 2 i EE

  > # ... with 46 more rows

  ```

• Speaker and time of day joinly

  ``` r healdvowels::by_speaker_time

  > # A tibble: 168 x 5

  > Vowel Speaker Time model Vowel_ascii

  >

  > 1 æ 1 t1 AE

  > 2 æ 1 t2 AE

  > 3 æ 1 t3 AE

  > 4 æ 2 t1 AE

  > 5 æ 2 t2 AE

  > 6 æ 2 t3 AE

  > 7 æ 3 t1 AE

  > 8 æ 3 t2 AE

  > 9 æ 3 t3 AE

  > 10 æ 4 t1 AE

  > # ... with 158 more rows

  ```

Additionally, the overall (marginal) distributions of each vowel are included:

healdvowels::marginal
#> # A tibble: 7 x 3
#>   Vowel      model Vowel_ascii
#>   <chr>     <list>       <chr>
#> 1     æ <list [2]>          AE
#> 2     ɑ <list [2]>          AH
#> 3     i <list [2]>          EE
#> 4     ɛ <list [2]>          EH
#> 5     ɪ <list [2]>          IH
#> 6     u <list [2]>          OO
#> 7     ʌ <list [2]>          UH

The model column is a list column, where each entry is a list with mu (mean vector) and Sigma (covariance matrix):

healdvowels::marginal$model[[1]]
#> $mu
#>        F1        F2        F3 
#>  844.9351 1794.3590 2608.0486 
#> 
#> $Sigma
#>            F1         F2        F3
#> F1 11621.7654   312.2359  9679.805
#> F2   312.2359 46300.8625 28703.813
#> F3  9679.8054 28703.8127 71828.838

These models can be used with phondisttools in the same way that models trained from raw F1×F2 values can be.

Finally, the models tibble collects the four grouped model tibbls above into a single tibble:

healdvowels::models
#> # A tibble: 4 x 2
#>      grouping             models
#>         <chr>             <list>
#> 1    Marginal   <tibble [7 x 4]>
#> 2      Talker  <tibble [56 x 4]>
#> 3        Time  <tibble [21 x 4]>
#> 4 Time+Talker <tibble [168 x 4]>

kleinschmidt/healdvowels documentation built on May 29, 2019, 11:40 a.m.