decoupling: decoupling

In theasjblog/tcx_package: tcx file analyzer

Description

Function to analyse activity decoupling

Usage

decoupling(data, variable, from, to)

Arguments

data	an activity dataframe
variable	(character) The metrics to compare in the decaopling analysis against heart rate. Must be the same name as the column in the dataframe.
from	(numeric) When to start the decoupling analysis
to	(numeric) When to stop the decoupling analysis

Details

The concept of decoupling is discussed in Joe Friel blog. In summary, this function allows to visualise and quantify if an activity (ideally a long steady effort in zone 2) shows decoupling or not, that is if the heart rate stays constant but the pace/power decrease or if the the pace/power stay constant, but the heart rate increases. High decoupling is symptomatic of poor aerobic fitness.

Value

A list of dataframes with a summary of comparisons between heart rate (1st and 2nd half, compareHR), variable (1st and 2nd half, compareVar), and heart rate against variable (overall, compareSlopes). It also returns the decoupling plot (p).

Examples

gpx <- evenActivity
decoplingRes <- decoupling(data = gpx, variable = "Pace", from = 10, to = 60)
decoplingRes$compareHR
decoplingRes$compareVar
decoplingRes$compareSlopes
print(decoplingRes$p)

theasjblog/tcx_package documentation built on March 13, 2021, 2:24 a.m.