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Changelog

Source: NEWS.md

rhythm.metrics v1.1.0

Installation:

remotes::install_github("congzhang365/rhythm.metrics")

What’s New

  • Standardized Syntax: This version introduces minor syntax changes to argument names (e.g., c_label and v_label are now standardised to label_name or cv_label consistently).
  • R 4.6.0 Ready: Major update for R 4.6.0 compatibility and improved stability.

Available Calculation Functions:

  • delta_cv(df, cv_label, utterance_id, cv_duration)
  • varco_cv(df, cv_label, utterance_id, cv_duration)
  • percentage_v(df, v_label = "vowel", utterance_id, cv_duration, utterance_duration)
  • rpvi_c(df, cv_label, label_name = "consonant", utterance_id, cv_duration)
  • npvi_v(df, cv_label, label_name = "vowel", utterance_id, cv_duration)

Available Visualisation Functions:

  • plot_delta_cv(df, cv_label, utterance_id, cv_duration)
  • plot_varco_cv(df, cv_label, utterance_id, cv_duration)
  • plot_percentage_v(df, cv_label, label_name = "vowel", utterance_id, cv_duration, utterance_duration)
  • plot_rpvi(df, cv_label, label_name = "consonant", utterance_id, cv_duration)
  • plot_npvi(df, cv_label, label_name = "vowel", utterance_id, cv_duration)

rhythm.metrics v1.0.0 (Legacy)

Initial beta release. Published in 2022. No change up until April 2026.

Installation:

# Install remotes if you haven't already
install.packages("remotes")

# Install the legacy v1.0.0 version
remotes::install_github("congzhang365/rhythm.metrics@v1.0.0")

Available Calculation Functions:

  • delta_cv(df, cv_label, utterance_id, cv_duration)
  • varco_cv(df, cv_label, utterance_id, cv_duration)
  • percentage_v(df, v_label, utterance_id, cv_duration)
  • rpvi_c(df, c_label, utterance_id, cv_duration)
  • npvi_v(df, v_label, utterance_id, cv_duration)

Available Visualisation Functions:

  • plot_delta_cv(df, cv_label, utterance_id, cv_duration)
  • plot_varco_cv(df, cv_label, utterance_id, cv_duration)
  • plot_percentage_v(df, v_label, utterance_id, cv_duration)
  • plot_rpvi(df, c_label, utterance_id, cv_duration)
  • plot_npvi(df, v_label, utterance_id, cv_duration)