GC: GoldenCheetah (>v3.3) interface.

In cycleRtools: Tools for Cycling Data Analysis

Description

Functions for interfacing R with GoldenCheetah. Requires the RCurl package to be installed.

Usage

GC_activity(athlete.name, activity, port = 12021, format = TRUE)

GC_metrics(athlete.name, date.rng = NULL, port = 12021)

GC_mmvs(type = "watts", date.rng = NULL, port = 12021)

Arguments

athlete.name	character; athlete of interest in the GoldenCheetah data directory. Typically of the form "First Last".
activity	character; file path to a GoldenCheetah activity(.json) file. Typically located in "~/.goldencheetah/Athlete Name/activities/".
port	http server port number. 12021 unless deliberatley changed in the httpserver.ini file.
format	format activity data to an object of class "cycleRdata". Ensures compatibility with other functions in this package – see read_ride.
date.rng	a vector of length two that can be converted to an object of class "Date" via as.Date. Must be specified for GC_mmvs; optional for GC_metrics.
type	the type of maximal mean values to return. See details.

Details

As of GoldenCheetah (GC) version 3.3, the application is ran with a background restful web service api to ease integration with external analysis software (such as R). When an instance of GoldenCheetah is running, or the application is initiated from the command line with the '–server' option, these functions can be used to interface with athlete data. Relevant documentation can be found here.

GC_activity behaves similarly to read_ride functions in this package, importing data from saved GC .json files.

GC_metrics returns summary metrics for either: all available rides if date.rng = NULL; or rides within a specified date range if dates are given.

GC_mmvs retuns best maximal mean values for data specified in the type argument. Possible options for type are: "watts", "hr", "cad", "speed", "nm", "vam", "xPower", or "NP". See also mmv.

cycleRtools documentation built on May 2, 2019, 10:51 a.m.