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A quick and effective data exploration toolkit. It provides essential features, including a descriptive statistics table for a quick overview of your dataset, interactive distribution plots to visualize variable patterns, Principal Component Analysis for dimensionality reduction and feature analysis, missing value imputation methods, and correlation analysis.
| Version: | 0.1.2 |
| Imports: | Hmisc, ggplot2, plotly, stats, caret, htmltools, DT, magrittr, RANN |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-01-30 |
| DOI: | 10.32614/CRAN.package.AnalysisLin |
| Author: | Zhiwei Lin [aut, cre] |
| Maintainer: | Zhiwei Lin <zhiweilin27 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | AnalysisLin results |
| Reference manual: | AnalysisLin.pdf |
| Vignettes: |
AnalysisLin-vignette |
| Package source: | AnalysisLin_0.1.2.tar.gz |
| Windows binaries: | r-devel: AnalysisLin_0.1.2.zip, r-release: AnalysisLin_0.1.2.zip, r-oldrel: AnalysisLin_0.1.2.zip |
| macOS binaries: | r-release (arm64): AnalysisLin_0.1.2.tgz, r-oldrel (arm64): AnalysisLin_0.1.2.tgz, r-release (x86_64): AnalysisLin_0.1.2.tgz, r-oldrel (x86_64): AnalysisLin_0.1.2.tgz |
| Old sources: | AnalysisLin archive |
Please use the canonical form https://CRAN.R-project.org/package=AnalysisLin to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.