Extract, plot, and analyse Runkeeper(TM) data.
Assuming the TravisCI badges above are green (i.e. the current build is stable) this package can be installed via
devtools::install_github("jonocarroll/runkeepR")
or
pacman::p_load_gh("jonocarroll/runkeepR")
load the installed package
library(runkeepR)
You can get a zipped export of your Runkeeper(TM) data from the logged-in settings page on Runkeeper's website, e.g. runkeeper-data-export-12517482-2016-05-20-1550.zip.
Save the .zip file to a directory (e.g. ~/runkeepR-test/) and unzip the contents (mainly .gpx files and a couple of .csv files). Set this directory as your working directory in R.
setwd("~/runkeepR-test/") ## set directory to location of .gpx files
Loading and processing the route information contained in the .gpx and .csv files into a data.frame is as simple as
routes <- load_tracks(".")
save(routes, file="saved_routes.rds") ## save the data to avoid re-processing
The data can be plotted either with ggplot
load("saved_routes.rds")
plot_ggplot(routes, center="Adelaide, Australia", zoom=14)
or leaflet; this plots all paths but is clever about which ones to load depending on the current viewport, so it's faster.
load("saved_routes.rds")
plot_leaflet(routes)
Summary statistics can be viewed
summarise_runs(routes, dashboard=FALSE)
and presented in a shinydashboard
summarise_runs(routes)
summarised either monthly
or daily
Not affiliated with Runkeeper(TM). Runkeeper(TM) logo © FitnessKeeper 2016