poweRof10 is a small package that scrapes data from athletics rankings website www.thepowerof10.info. I’m a big athletics fan and created poweRof10 for a bit of fun to analyse my own performances, but thought it might be worth sharing here. The package is still a little rough around the edges, but the basic functionality should work well enough!
Check out this blog post for some more examples.
Installation
Install from github with:
# install.packages("remotes")
remotes::install_github("hfshr/poweRof10")Basic usage
You can get the rankings for a specific event/year/gender/age group using the get_event() function:
get_event(event = "100", agegroup = "ALL", gender = "M", year = 2016, top_n = 10) %>%
select(rank, perf, name, venue)
#> rank perf name venue
#> 1 1 9.96 Joel Fearon Bedford
#> 2 2 10.01 Richard Kilty Hexham
#> 3 9.92 Gavardo, ITA
#> 4 2 10.01 Chijindu Ujah Rio de Janeiro, BRA
#> 5 9.97 Birmingham
#> 6 4 10.04 James Ellington Amsterdam, NED
#> 7 9.96 Birmingham
#> 8 4 10.04 Reece Prescod Bedford
#> 9 6 10.08 Harry Aikines-Aryeetey Loughborough
#> 10 10.02 BirminghamAlternatively, you can search for an individual athlete and get their performance history with get_athlete():
get_athlete(fn = "Harry", sn = "Fisher", club = "Cardiff/Cardiff Met Uni") %>%
select(event, perf, pos, venue, date) %>%
head(10)
#> event perf pos venue date
#> 1 8.6KXC 31:56 40 Chepstow 8 Feb 20
#> 2 parkrun 17:33 16 Cardiff 5 Oct 19
#> 3 9.3KXC 35:28 69 Blaise Castle 7 Dec 19
#> 4 400 49.00 1 Sheffield 18 Feb 18
#> 5 400 49.16 1 Bedford 5 May 18
#> 6 400 49.32 5 Sheffield 18 Feb 18
#> 7 400 49.43 5 Bedford 6 May 18
#> 8 400 49.66 1 Sheffield 17 Feb 18
#> 9 400 49.86 1 Cardiff 27 Jan 18
#> 10 400 50.18 1 Cardiff 27 Jan 18