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The nzilbb.vowels packages contains useful functions and
data for the investigation of vocalic covariation. The core of the
package is a set of functions to aid PCA-based studies of
monophthongs.
The package evolves along with ongoing research on vocalic covariation carried out at NZILBB.
Install from CRAN:
install.packages('nzilbb.vowels')You can install the development version of nzilbb.vowels from GitHub with:
# install.packages("devtools")
devtools::install_github("nzilbb/nzilbb_vowels")library(nzilbb.vowels)
#> Loading required package: patchwork
ggplot2::theme_set(ggplot2::theme_bw())
# normalise vowels using Lobanov 2.0 normalisation (see Brand et al. (2021))
onze_vowels <- onze_vowels |>
lobanov_2()
# apply PCA to random intercepts from GAMM models (again, from Brand et al. (2021))
onze_pca <- prcomp(
onze_intercepts |> dplyr::select(-speaker),
scale = TRUE
)
# Test PCA using bootstrapping approach (see Wilson Black et al. (2022))
onze_pca_test <- pca_test(onze_intercepts |> dplyr::select(-speaker))
# Plot variance explained by each PC.
plot_variance_explained(onze_pca_test)
# Plot index loadings of PC1
plot_loadings(onze_pca_test)
# Plot PC in vowel space
plot_pc_vs(onze_vowels, onze_pca_test)
For more information, see Wilson Black et al. (2022) and associated supplementary material.
It is often useful to have Wells lexical sets in small capitals in R Markdown documents. The way to achieve this manually is to add “vowel”. This package includes an RStudio add in, which can be attached to a keyboard shortcut. (see ‘Addins’ at the top of the RStudio window). This add in works for both Quarto and RMarkdown files.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.