Package: surveyexplorer 0.2.0

surveyexplorer: Quickly Explore Complex Survey Data

Visualize and tabulate single-choice, multiple-choice, matrix-style questions from survey data. Includes ability to group cross-tabulations, frequency distributions, and plots by categorical variables and to integrate survey weights. Ideal for quickly uncovering descriptive patterns in survey data.

Authors:Liam Haller [aut, cre, cph]

surveyexplorer_0.2.0.tar.gz
surveyexplorer_0.2.0.zip(r-4.5)surveyexplorer_0.2.0.zip(r-4.4)surveyexplorer_0.2.0.zip(r-4.3)
surveyexplorer_0.2.0.tgz(r-4.4-any)surveyexplorer_0.2.0.tgz(r-4.3-any)
surveyexplorer_0.2.0.tar.gz(r-4.5-noble)surveyexplorer_0.2.0.tar.gz(r-4.4-noble)
surveyexplorer_0.2.0.tgz(r-4.4-emscripten)surveyexplorer_0.2.0.tgz(r-4.3-emscripten)
surveyexplorer.pdf |surveyexplorer.html✨
surveyexplorer/json (API)
NEWS

# Install 'surveyexplorer' in R:

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

Bug tracker:https://github.com/liamhaller/surveyexplorer/issues

Datasets:

berlinbears - Bears bears dataframe

On CRAN:

survey visualization

3.85 score 2 stars 2 scripts 602 downloads 10 exports 71 dependencies

Last updated 2 months agofrom:9c99a9a10c. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 20 2024
R-4.5-win	OK	Nov 20 2024
R-4.5-linux	OK	Nov 20 2024
R-4.4-win	OK	Nov 20 2024
R-4.4-mac	OK	Nov 20 2024
R-4.3-win	OK	Nov 20 2024
R-4.3-mac	OK	Nov 20 2024

Exports:matrix_freq matrix_likert matrix_mean matrix_table multi_freq multi_summary multi_table single_freq single_summary single_table

Dependencies:base64enc bigD bitops bslib cachem cli colorspace commonmark cpp11 curl digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 ggupset glue gt gtable highr htmltools htmlwidgets isoband jquerylib jsonlite juicyjuice knitr labeling lattice lifecycle magrittr markdown MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig purrr R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown sass scales stringi stringr tibble tidyr tidyselect tinytex utf8 V8 vctrs viridisLite withr xfun xml2 yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bears bears dataframe	berlinbears
Base table for single & multiple choice questions	frequency_table
Matrix Frequency Plot	matrix_freq
Plot Likert-scale responses using ggplot2.	matrix_likert
Matrix Mean Plot	matrix_mean
Create a table of frequencies and counts for matrix questions	matrix_table
Generate an UpSet plot for multiple-choice questions	multi_freq
Compute summary statistics for a multiple choice questions	multi_summary
Create a table of frequencies and counts for multiple-choice questions	multi_table
Plot frequencies of responses for a single-choice question.	single_freq
Generate a summary table for a single categorical variable, providing counts and frequencies.	single_summary
Create a table of frequencies and counts for single-choice questions	single_table