Changelog
Source:NEWS.md
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
CRAN release: 2024-12-07
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 thetype
anddocument
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
CRAN release: 2024-08-17
- 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.