prepare_fit: Prepare fit

In lactater: Tools for Analyzing Lactate Thresholds

Prepare fit

Description

This is an obligatory step before applying any lactate threshold method. This function will model the raw data as well as make all the necessary data wrangling.

Usage

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

Arguments

.data	The data retrieved from prepare_data().
fit	The fit you would like to use for finding the lactate values associated to each one of the lactate thresholds. Please, note that a few lactate thresholds have default methods for this and cannot be changed. See Details.
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 tibble with the following nested columns:

data	The raw data.
data_interpolated	The interpolated data.
model	The model chosen in the fit parameter.
data_augmented	The augmented data retrieved from the model.
bsln	A boolean indicating the include_baseline argument.

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