---
title: "Checking Normalization Procedures"
knitr:
  opts_chunk:
    crop: !expr 'rlang::is_installed(c("magick"))'
    collapse: true
    comment: '#>'
format:
  html:
    toc: true
    html-math-method: mathjax
vignette: >
  %\VignetteIndexEntry{Checking Normalization Procedures}
  %\VignetteEngine{quarto::html}
  %\VignetteEncoding{UTF-8}
---

```{r}
#| label: setup
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.

```{r}
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.

```{r}
check_norm(norm_data)
```