concentration_profile.distrProfile: Generate training concentration profiles.

In trackeR: Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

Description

Generate training concentration profiles.

Usage

## S3 method for class 'distrProfile'
concentration_profile(object, session = NULL,
  what = NULL, ...)

## S3 method for class 'trackeRdata'
concentration_profile(object, session = NULL,
  what = NULL, limits = NULL, parallel = FALSE,
  unit_reference_sport = NULL, scale = FALSE, ...)

Arguments

object	An object of class trackeRdata or distrProfile.
session	A numeric vector of the sessions to be used, defaults to all sessions.
what	The variables for which the distribution profiles should be generated. Defaults to all variables in object (what = NULL).
...	Currently not used.
limits	A named list of vectors of two numbers to specifiy the lowe and upper limits for the variables in what. If NULL (default) the limits for the variables in what are inferred from object.
parallel	Logical. Should computation be carried out in parallel? Default is FALSE.
unit_reference_sport	The sport to inherit units from (default is taken to be the most frequent sport in object).
scale	Logical. If FALSE (default) then the integral of the profiles over the real line matches the session length.

Value

An object of class conProfile.

Object:

A named list with one or more components, corresponding to the value of what. Each component is a matrix of dimension g times n, where g is the length of the grids set in grid (or 200 if grid = NULL) and n is the number of sessions requested in the session argument.

Attributes:

Each conProfile object has the following attributes:

• sport: the sports corresponding to the columns of each list component

• session_times: the session start and end times correspoding to the columns of each list component

• unit_reference_sport: the sport where the units have been inherited from

• operations: a list with the operations that have been applied to the object. See get_operations.distrProfile

• limits: The variable limits that have been used for the computation of the concentration profiles.

• units: an object listing the units used for the calculation of distribution profiles. These is the output of get_units on the corresponding trackeRdata object, after inheriting units from unit_reference_sport.

References

Kosmidis, I., and Passfield, L. (2015). Linking the Performance of Endurance Runners to Training and Physiological Effects via Multi-Resolution Elastic Net. ArXiv e-print arXiv:1506.01388.

Frick, H., Kosmidis, I. (2017). trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R. Journal of Statistical Software, 82(7), 1–29. doi:10.18637/jss.v082.i07

trackeR documentation built on May 15, 2019, 5:04 p.m.