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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.


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


And the development version from GitHub with:

# install.packages("remotes")


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.


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

See the package vignette for detailed usage.