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eddington

One statistic that cyclists are known to track is their Eddington number. The Eddington number for cycling, E, is the maximum number where a cyclist has ridden E miles on E distinct days. So to get a number of 30, you need to have ridden 30 miles or more on 30 separate days.

This package provides functions to compute a cyclist’s Eddington number, including efficiently computing cumulative E over a vector. These functions may also be used for h-indices for authors. Both are specific applications of computing the side length of a Durfee square.

The package can also be used to ingest GPS Exchange Format (GPX) files into a data.frame format conducive to computing the Eddington number.

Installation

You can install the released version of eddington from CRAN with:

install.packages("eddington")

And the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("pegeler/eddington2/R/package")

Example

Here is a basic example showing how to get the summary Eddington number of the included simulated rides dataset. Note that we first have to aggregate ride mileage by date.

library(eddington)
library(dplyr)

rides %>%
  group_by(ride_date) %>%
  summarize(n = n(), total = sum(ride_length)) %>% 
  summarize(E = E_num(total)) %>% 
  pull
#> [1] 29

See the package vignette for detailed usage.

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.