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check_norm() will generate a message with information about which normalization procedures have been applied to the data.

Usage

check_norm(.data)

Arguments

.data

A data frame produced by a tidynorm function.

Value

This only prints an info message.

Examples

speaker_norm <- speaker_data |>
  norm_nearey(
    F1:F3,
    .by = speaker,
    .silent = TRUE
  )

check_norm(speaker_norm)
#> Normalization Step
#>  normalized with `tidynorm::norm_nearey()`
#>  normalized `F1`, `F2`, and `F3`
#>  normalized values in `F1_lm`, `F2_lm`, and `F3_lm`
#>  grouped by `speaker`
#>  within formant: FALSE
#>  (.formant - mean(.formant, na.rm = T))/(1)
#>