Access COROS Training Hub Fitness Data.

rCoros

rCoros provides a tidy interface to the COROS Training Hub API. Authenticate once, then pull activities, daily wellness metrics, HRV, workout programmes, and training calendars — all as tibbles ready for dplyr and ggplot2.

Installation

Install the development version from GitHub:

# install.packages("pak")
pak::pak("mattyoreilly/rCoros")

Setup

Add your credentials to ~/.Renviron so they are never in your scripts. The easiest way to open that file is:

usethis::edit_r_environ()

Add these two lines, save, and restart R:

[email protected]
COROS_PASSWORD=secret

Usage

library(rCoros)
library(dplyr)
library(ggplot2)

# Authenticate (reads COROS_EMAIL / COROS_PASSWORD from env)
auth <- coros_login()

# Activities from the last 30 days — all pages fetched automatically
acts <- coros_activities(auth)

# Running and trail running only
runs <- acts |> filter(sport_type %in% c(100L, 102L))

# Lap splits and HR zones for the most recent run
detail <- coros_activity_detail(
  auth,
  activity_id = runs$activity_id[[1]],
  sport_type  = runs$sport_type[[1]]
)
detail$laps
detail$hr_zones

# 28-day wellness metrics: HRV, RHR, VO2max, training load
metrics <- coros_daily_metrics(auth)

# HRV vs. baseline
ggplot(metrics, aes(date)) +
  geom_ribbon(aes(ymin = hrv_baseline - 5, ymax = hrv_baseline + 5),
              fill = "steelblue", alpha = 0.2) +
  geom_line(aes(y = hrv_baseline), colour = "steelblue") +
  geom_point(aes(y = hrv)) +
  labs(x = NULL, y = "HRV (ms)")

# Upcoming training schedule
coros_schedule(auth)

Functions

API regions

COROS operates separate endpoints for US and EU accounts. If your account was created in Europe, pass region = "eu" to coros_login().

Learn more

See vignette("rCoros") for a full walkthrough including plots, training-load analysis, and joining activities to wellness data.