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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 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=HistDat 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.