High-Performance Open-Source Archive
Speeds up exploratory data analysis (EDA) by providing a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response). Uses binary correlation analysis to determine relationship. Default correlation method is the Pearson method. Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014) <doi:10.1145/2637484>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.1) |
| Imports: | ggplot2, rlang, recipes, magrittr, plotly, tibble, dplyr (≥ 1.0.0), tidyr (≥ 1.0.0), stats, utils, ggrepel, stringr, forcats, purrr, cli, crayon, rstudioapi |
| Suggests: | scales, knitr, rmarkdown, covr, lubridate, testthat (≥ 2.1.0) |
| Published: | 2020-06-09 |
| DOI: | 10.32614/CRAN.package.correlationfunnel |
| Author: | Matt Dancho [aut, cre] |
| Maintainer: | Matt Dancho <mdancho at business-science.io> |
| BugReports: | https://github.com/business-science/correlationfunnel/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/business-science/correlationfunnel |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | correlationfunnel results |
| Reference manual: | correlationfunnel.html , correlationfunnel.pdf |
| Vignettes: |
Introducing Correlation Funnel (source, R code) Methodology, Key Considerations, and FAQs (source, R code) |
| Package source: | correlationfunnel_0.2.0.tar.gz |
| Windows binaries: | r-devel: correlationfunnel_0.2.0.zip, r-release: correlationfunnel_0.2.0.zip, r-oldrel: correlationfunnel_0.2.0.zip |
| macOS binaries: | r-release (arm64): correlationfunnel_0.2.0.tgz, r-oldrel (arm64): correlationfunnel_0.2.0.tgz, r-release (x86_64): correlationfunnel_0.2.0.tgz, r-oldrel (x86_64): correlationfunnel_0.2.0.tgz |
| Old sources: | correlationfunnel archive |
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