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 cyclistâ€™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:

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.