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NEWS.md

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qtkit 1.1.1

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 1.1.0

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 1.0.0

  • 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 0.10.0

  • Initial CRAN submission.