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