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Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops. 26 datasets are available for case studies in data visualization, statistical inference, modeling, linear regression, data wrangling and machine learning.
| Version: | 0.8.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2 |
| Published: | 2024-03-01 |
| DOI: | 10.32614/CRAN.package.dslabs |
| Author: | Rafael A. Irizarry, Amy Gill |
| Maintainer: | Rafael A. Irizarry <rafael_irizarry at dfci.harvard.edu> |
| License: | Artistic-2.0 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | dslabs results |
| Reference manual: | dslabs.pdf |
| Package source: | dslabs_0.8.0.tar.gz |
| Windows binaries: | r-devel: dslabs_0.8.0.zip, r-release: dslabs_0.8.0.zip, r-oldrel: dslabs_0.8.0.zip |
| macOS binaries: | r-release (arm64): dslabs_0.8.0.tgz, r-oldrel (arm64): dslabs_0.8.0.tgz, r-release (x86_64): dslabs_0.8.0.tgz, r-oldrel (x86_64): dslabs_0.8.0.tgz |
| Old sources: | dslabs archive |
| Reverse depends: | ibawds |
| Reverse imports: | coursekata |
Please use the canonical form https://CRAN.R-project.org/package=dslabs 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.