https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling> is the maximum number satisfying the condition such that a cyclist has ridden E miles or greater on E distinct days. The algorithm in this package is an improvement over the conventional approach because both summary statistics and cumulative statistics can be computed in linear time, since it does not require initial sorting of the data. These functions may also be used for computing h-indices for authors, a metric described by Hirsch (2005) <doi:10.1073/pnas.0507655102>. Both are specific applications of computing the side length of a Durfee square <https://en.wikipedia.org/wiki/Durfee_square>.">

eddington: Compute a Cyclist's Eddington Number (original) (raw)

Compute a cyclist's Eddington number, including efficiently computing cumulative E over a vector. A cyclist's Eddington number <https://en.wikipedia.org/wiki/Arthur_Eddington#Eddington_number_for_cycling> is the maximum number satisfying the condition such that a cyclist has ridden E miles or greater on E distinct days. The algorithm in this package is an improvement over the conventional approach because both summary statistics and cumulative statistics can be computed in linear time, since it does not require initial sorting of the data. These functions may also be used for computing h-indices for authors, a metric described by Hirsch (2005) <doi:10.1073/pnas.0507655102>. Both are specific applications of computing the side length of a Durfee square <https://en.wikipedia.org/wiki/Durfee_square>.

Version: 4.2.0
Depends: R (≥ 4.2.0)
Imports: Rcpp, R6, methods, xml2
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, stats, dplyr
Published: 2024-08-16
DOI: 10.32614/CRAN.package.eddington
Author: Paul Egeler [aut, cre], Tashi Reigle [ctb]
Maintainer: Paul Egeler
BugReports: https://github.com/pegeler/eddington2/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/pegeler/eddington2
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README, NEWS
CRAN checks: eddington results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=eddingtonto link to this page.