Checking Normalization Procedures

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library(tidynorm)

If you’ve carried out a few different normalization procedures on a single dataset, you can double check what the sequence of operations was with check_norm(). For example, in this workflow, we’ve given the new normalized data columns uninformative names.

norm_data <- speaker_data |>
  norm_lobanov(
    F1:F3,
    .by = speaker,
    .names = "{.formant}_norm1",
    .silent = T
  ) |>
  norm_nearey(
    F1:F3,
    .by = speaker,
    .names = "{.formant}_norm2",
    .silent = T
  )

We can review which normalization procedure produced which normalized column like so.

check_norm(norm_data)
#> Normalization Step
#> • normalized with `tidynorm::norm_lobanov()`
#> • normalized `F1`, `F2`, and `F3`
#> • normalized values in `F1_norm1`, `F2_norm1`, and `F3_norm1`
#> • grouped by `speaker`
#> • within formant: TRUE
#> • (.formant - mean(.formant, na.rm = T))/(sd(.formant, na.rm = T))
#> 
#> 
#> Normalization Step
#> • normalized with `tidynorm::norm_nearey()`
#> • normalized `F1`, `F2`, and `F3`
#> • normalized values in `F1_norm2`, `F2_norm2`, and `F3_norm2`
#> • grouped by `speaker`
#> • within formant: FALSE
#> • (.formant - mean(.formant, na.rm = T))/(1)

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