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In some cases you will have data in a histogram format, where you have a vector of all possible observations, and a vector of how many times each observation appeared. You could expand this into a single 1D vector, but this may not be advisable if the counts are extremely large. 'HistDat' allows for the calculation of summary statistics without the need for expanding your data.
| Version: | 0.2.0 |
| Imports: | methods, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2021-04-06 |
| DOI: | 10.32614/CRAN.package.HistDat |
| Author: | Michael Milton |
| Maintainer: | Michael Milton <michael.r.milton at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | HistDat results |
| Reference manual: | HistDat.pdf |
| Vignettes: |
histdat |
| Package source: | HistDat_0.2.0.tar.gz |
| Windows binaries: | r-devel: HistDat_0.2.0.zip, r-release: HistDat_0.2.0.zip, r-oldrel: HistDat_0.2.0.zip |
| macOS binaries: | r-release (arm64): HistDat_0.2.0.tgz, r-oldrel (arm64): HistDat_0.2.0.tgz, r-release (x86_64): HistDat_0.2.0.tgz, r-oldrel (x86_64): HistDat_0.2.0.tgz |
| Old sources: | HistDat archive |
| Reverse suggests: | TidyMultiqc |
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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.