Package: qtkit 1.0.0

Jerid Francom

qtkit: Quantitative Text Kit

Support package for the textbook "An Introduction to Quantitative Text Analysis for Linguists: Reproducible Research Using R" (Francom, 2024) <doi:10.4324/9781003393764>. Includes functions to acquire, clean, and analyze text data as well as functions to document and share the results of text analysis. The package is designed to be used in conjunction with the book, but can also be used as a standalone package for text analysis.

Authors:Jerid Francom [aut, cre, cph]

qtkit_1.0.0.tar.gz
qtkit_1.0.0.zip(r-4.5)qtkit_1.0.0.zip(r-4.4)qtkit_1.0.0.zip(r-4.3)
qtkit_1.0.0.tgz(r-4.4-any)qtkit_1.0.0.tgz(r-4.3-any)
qtkit_1.0.0.tar.gz(r-4.5-noble)qtkit_1.0.0.tar.gz(r-4.4-noble)
qtkit_1.0.0.tgz(r-4.4-emscripten)qtkit_1.0.0.tgz(r-4.3-emscripten)
qtkit.pdf |qtkit.html✨
qtkit/json (API)
NEWS

# Install 'qtkit' in R:

install.packages('qtkit', repos = c('https://qtalr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/qtalr/qtkit/issues

On CRAN:

4.85 score 10 scripts 159 downloads 11 exports 94 dependencies

Last updated 3 months agofrom:44325f392f. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win	OK	Nov 04 2024
R-4.5-linux	OK	Nov 04 2024
R-4.4-win	OK	Nov 04 2024
R-4.4-mac	OK	Nov 04 2024
R-4.3-win	OK	Nov 04 2024
R-4.3-mac	OK	Nov 04 2024

Exports:add_pkg_to_bib calc_assoc_metrics calc_type_metrics create_data_dictionary create_data_origin find_outliers get_archive_data get_gutenberg_data write_gg write_kbl write_obj

Dependencies:AsioHeaders askpass assertthat base64enc bit bit64 bslib cachem chromote cli clipr colorspace cpp11 crayon curl digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue gtable gutenbergr highr hms htmltools httr isoband janeaustenr jquerylib jsonlite kableExtra knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme openai openssl pillar pkgconfig prettyunits processx progress promises ps purrr R6 rappdirs RColorBrewer Rcpp readr rlang rmarkdown rstudioapi sass scales SnowballC stringi stringr svglite sys systemfonts tibble tidyselect tidytext tinytex tokenizers triebeard tzdb urltools utf8 vctrs viridisLite vroom websocket withr xfun xml2 yaml

Documenting data and datasets

Rendered fromdocument.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-08-16
Started: 2024-08-16

Leveraging publishing functions

Rendered fromreports.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2024-08-16
Started: 2024-08-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add package to BibTeX file	add_pkg_to_bib
Calculate Association Metrics for Bigrams	calc_assoc_metrics
Calculate Type Metrics for Text Data	calc_type_metrics
Create Data Dictionary	create_data_dictionary
Create data origin file	create_data_origin
Identify Outliers in a Numeric Variable	find_outliers
Download an archive file and unarchive its contents	get_archive_data
Get Works from Project Gutenberg	get_gutenberg_data
Write a ggplot object to a file	write_gg
Write a kable object to a file	write_kbl
Write an R object as a file	write_obj