Changelog

Source: NEWS.md

qtkit 1.1.12025-01-14

Bug fixes:

• Bug fix (#9): create_data_dictionary() now catches errors when the
  AI model fails to produce a CSV output that will parse correctly. A warning
  is issued and the function returns a data dictionary without the AI model.
  Note: In testing, gpt-3.5-turbo and gpt-4 have been found to be the most
  reliable models for this task.
• Bug fix: calc_assoc_metrics() now uses {dplyr} functions to perform more
  efficient calculations. Previously, the function was using base R functions
  to calculate the metrics, and memory usage was high for large datasets.

qtkit 1.1.02024-12-07

New features:

• Adds curate_enntt_data() to curate the ENNTT data downloaded from
  GitHub here.
• Adds curate_swda_data() to curate the SWDA data downloaded from the
  LDC here.

Bug fixes:

• Bug fix (#7): calc_type_metrics() now correctly allows for the type
  and document arguments to be specified as symbols that can take values
  other than type and document.

Enhancements:

• Adds vignettes for documenting data and using the publishing functions.
• Removes many external dependencies from the package (glue, purrr, readr,
  stringr, tibble, and tidytext) to reduce the number of dependencies and make
  the package more lightweight.

qtkit 1.0.02024-08-17

• Adds calc_assoc_metrics() to calculate association metrics between two
  variables.
• Adds calc_type_metrics() to calculate dispersion and frequency metrics
  for a variable.
• Adds create_data_dictionary() to create a data dictionary for a dataset.
• Adds find_outliers() to identify observations in a data frame that have
  outliers for a given variable.
• Adds get_gutenberg_data() to download a dataset from Project Gutenberg.
• Adds add_pkg_to_bib() to add a package to the bibliography.
• Adds write_*() functions to aid in publishing results to a variety of
  formats.
  • write_gg() writes a ggplot object to a file.
  • write_kbl() writes a knitr::kable object to a file.
  • write_obj() writes an R object to a file.
• Adds find_outliers() to identify observations in a data frame that has
  outliers for a given variable.

Notes: get_talkbank_data() is postponed for a future release.

qtkit 0.10.02024-06-24

• Initial CRAN submission.