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This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.
| Version: | 0.1.2 |
| Suggests: | testthat |
| Published: | 2020-05-04 |
| DOI: | 10.32614/CRAN.package.calcUnique |
| Author: | Stephen Froehlich |
| Maintainer: | Stephen Froehlich <stephen.froehlich at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/stephenbfroehlich/calcUnique |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | calcUnique results |
| Reference manual: | calcUnique.pdf |
| Package source: | calcUnique_0.1.2.tar.gz |
| Windows binaries: | r-devel: calcUnique_0.1.2.zip, r-release: calcUnique_0.1.2.zip, r-oldrel: calcUnique_0.1.2.zip |
| macOS binaries: | r-release (arm64): calcUnique_0.1.2.tgz, r-oldrel (arm64): calcUnique_0.1.2.tgz, r-release (x86_64): calcUnique_0.1.2.tgz, r-oldrel (x86_64): calcUnique_0.1.2.tgz |
| Old sources: | calcUnique archive |
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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.