Package: quanteda.textplots 0.95
quanteda.textplots: Plots for the Quantitative Analysis of Textual Data
Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
Authors:
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quanteda.textplots.pdf |quanteda.textplots.html✨
quanteda.textplots/json (API)
NEWS
# Install 'quanteda.textplots' in R: |
install.packages('quanteda.textplots', repos = c('https://quanteda.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/quanteda/quanteda.textplots/issues
On CRAN:quanteda.textplots-0.95(2024-08-28)
Last updated 6 months agofrom:66fa7c1807. Checks:11 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 25 2025 |
R-4.5-win-x86_64 | OK | Feb 25 2025 |
R-4.5-mac-x86_64 | OK | Feb 25 2025 |
R-4.5-mac-aarch64 | OK | Feb 25 2025 |
R-4.5-linux-x86_64 | OK | Feb 25 2025 |
R-4.4-win-x86_64 | OK | Feb 25 2025 |
R-4.4-mac-x86_64 | OK | Feb 25 2025 |
R-4.4-mac-aarch64 | OK | Feb 25 2025 |
R-4.3-win-x86_64 | OK | Feb 25 2025 |
R-4.3-mac-x86_64 | OK | Feb 25 2025 |
R-4.3-mac-aarch64 | OK | Feb 25 2025 |
Exports:as.igraphas.networktextplot_keynesstextplot_networktextplot_scale1dtextplot_wordcloudtextplot_xray
Dependencies:clicodacolorspacecpp11extrafontextrafontdbfansifarverfastmatchggplot2ggrepelgluegtableigraphisobandISOcodesjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnetworknlmepillarpkgconfigquantedaR6RColorBrewerRcpprlangRttf2pt1scalessnaSnowballCstatnet.commonstopwordsstringitibbleutf8vctrsviridisLitewithrxml2yaml
Citation
Benoit K, Watanabe K, Wang H, Nulty P, Obeng A, Müller S, Matsuo A (2018). “quanteda: An R package for the quantitative analysis of textual data.” Journal of Open Source Software, 3(30), 774. doi:10.21105/joss.00774, https://quanteda.io.
Corresponding BibTeX entry:
@Article{, title = {quanteda: An R package for the quantitative analysis of textual data}, journal = {Journal of Open Source Software}, author = {Kenneth Benoit and Kohei Watanabe and Haiyan Wang and Paul Nulty and Adam Obeng and Stefan Müller and Akitaka Matsuo}, doi = {10.21105/joss.00774}, url = {https://quanteda.io}, volume = {3}, number = {30}, pages = {774}, year = {2018}, }
Readme and manuals
quanteda.textplots: plots and visualisation for quanteda
About
Contains the textplot_*()
functions formerly in quanteda. For more
details, see https://quanteda.io.
How to Install
The normal way from CRAN, using your R GUI or
install.packages("quanteda.textplots")
Or for the latest development version:
# remotes::install_github("quanteda/quanteda.textplots")
install.packages("quanteda.textplots", repos = c('https://quanteda.r-universe.dev', 'https://cloud.r-project.org'))
How to cite
Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. (2018) “quanteda: An R package for the quantitative analysis of textual data”. Journal of Open Source Software. 3(30), 774. https://doi.org/10.21105/joss.00774.
For a BibTeX entry, use the output from
citation(package = "quanteda.textplots")
.
Leaving Feedback
If you like quanteda, please consider leaving feedback or a testimonial here.
Contributing
Contributions in the form of feedback, comments, code, and bug reports are most welcome. How to contribute:
- Fork the source code, modify, and issue a pull request through the project GitHub page. See our Contributor Code of Conduct and the all-important quanteda Style Guide.
- Issues, bug reports, and wish lists: File a GitHub issue.
- Usage questions: Submit a question on the quanteda channel on StackOverflow.
Help Manual
Help page | Topics |
---|---|
Plot word keyness | textplot_keyness |
Plot a network of feature co-occurrences | as.igraph.fcm as.network.fcm textplot_network |
Plot a fitted scaling model | textplot_scale1d |
Plot features as a wordcloud | textplot_wordcloud |
Plot the dispersion of key word(s) | textplot_xray |