lactate_curve: Lactate curve

In lactater: Tools for Analyzing Lactate Thresholds

Lactate curve

Description

It retrieves the lactate curve for plotting purposes.

Usage

lactate_curve(
  .data,
  intensity_column,
  lactate_column,
  heart_rate_column,
  fit = c("3rd degree polynomial", "4th degree polynomial", "B-spline"),
  include_baseline = FALSE,
  sport = c("cycling", "running", "swimming")
)

Arguments

.data	The raw data.
intensity_column	The name of the intensity column.
lactate_column	The name of the lactate column.
heart_rate_column	The name of the heart rate column, if applicable.
fit	The fit you would like to use for plotting the lactate curve. Options are ⁠3rd degree polynomial⁠, ⁠4th degree polynomial⁠, or B-spline.
include_baseline	A boolean to indicate whether to include the baseline value in the fit.
sport	The sport at which the incremental test was performed. One of cycling, running, or swimming.

Value

a list with the following elements:

data	a tibble containing the raw data with the columns intensity, lactate, and heart_rate.
lactate_curve	a tibble containing the data with the columns intensity and lactate for plotting the lactate curve according to the fit method chosen.
heart_rate_response	a tibble containing the data with the columns intensity and heart_rate for plotting the heart rate response using the linear method.

Examples

## Not run: 
lactate_curve(
  .data = demo_data,
  intensity_column = "intensity",
  lactate_column = "lactate",
  heart_rate_column = "heart_rate",
  fit = "3rd degree polynomial",
  include_baseline = TRUE,
  sport = "cycling"
)

## End(Not run)

lactater documentation built on Nov. 16, 2023, 5:10 p.m.