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Perform a regression analysis, generate a regression table, create a scatter plot, and download the results. It uses 'stargazer' for generating regression tables and 'ggplot2' for creating plots. With just two lines of code, you can perform a regression analysis, visualize the results, and save the output. It is part of my make R easy project where one doesn't need to know how to use various packages in order to get results and makes it easily accessible to beginners. This is a part of my make R easy project. Help from 'ChatGPT' was taken. References were Wickham (2016) <doi:10.1007/978-3-319-24277-4>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stargazer, ggplot2, stats |
| Published: | 2024-06-14 |
| DOI: | 10.32614/CRAN.package.RPregression |
| Author: | Raghav Puri [aut, cre] |
| Maintainer: | Raghav Puri <itsraghavpuri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | RPregression results |
| Reference manual: | RPregression.pdf |
| Package source: | RPregression_0.1.0.tar.gz |
| Windows binaries: | r-devel: RPregression_0.1.0.zip, r-release: RPregression_0.1.0.zip, r-oldrel: RPregression_0.1.0.zip |
| macOS binaries: | r-release (arm64): RPregression_0.1.0.tgz, r-oldrel (arm64): RPregression_0.1.0.tgz, r-release (x86_64): RPregression_0.1.0.tgz, r-oldrel (x86_64): RPregression_0.1.0.tgz |
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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.