fit_2rm: Develop a two-regression algorithm

In TwoRegression: Develop and Apply Two-Regression Algorithms

Develop a two-regression algorithm

Description

Develop a two-regression algorithm

Check if an object has class TwoRegression

Usage

fit_2rm(
  data,
  activity_var,
  sed_cp_activities,
  sed_activities,
  sed_cp_var,
  sed_METs,
  walkrun_activities,
  walkrun_cp_var,
  met_var,
  walkrun_formula,
  intermittent_formula,
  method = "user_unspecified"
)

is.TwoRegression(x)

Arguments

data	The data with which to develop the algorithm
activity_var	Character scalar. Name of the variable defining which activity is being performed
sed_cp_activities	Character vector. Activities to be included in the process of forming the sedentary classifier
sed_activities	Character vector. Actual sedentary activities
sed_cp_var	Character scalar. Name of the variable on which the sedentary cut-point is defined
sed_METs	Numeric scalar. Metabolic equivalent value to apply to sedentary activities
walkrun_activities	Character vector. Actual ambulatory activities
walkrun_cp_var	Character scalar. Name of the variable on which the walk/run cut-point is defined
met_var	Character scalar. Name of the variable giving actual energy expenditure (in metabolic equivalents)
walkrun_formula	Character scalar. Formula to use for developing the walk/run regression model
intermittent_formula	Character scalar. Formula to use for developing the intermittent activity regression model
method	character scalar. Optional name for the model, potentially useful for printing.
x	object to be tested

Value

An object of class 'TwoRegression'

See Also

predict.TwoRegression summary.TwoRegression plot.TwoRegression

Examples

set.seed(307)

data(all_data, package = "TwoRegression")
fake_sed <- c("Lying", "Sitting")
fake_lpa <- c("Sweeping", "Dusting")
fake_cwr <- c("Walking", "Running")
fake_ila <- c("Tennis", "Basketball")

fake_activities <- c(fake_sed, fake_lpa, fake_cwr, fake_ila)

all_data$Activity <- sample(fake_activities, nrow(all_data), TRUE)

all_data$fake_METs <- ifelse(
  all_data$Activity %in% c(fake_sed, fake_lpa),
  runif(nrow(all_data), 1, 2),
  runif(nrow(all_data), 2.5, 8)
)

fit_2rm(
  data = all_data,
  activity_var = "Activity",
  sed_cp_activities = c(fake_sed, fake_lpa),
  sed_activities = fake_sed,
  sed_cp_var = "ENMO",
  sed_METs = 1.25,
  walkrun_activities = fake_cwr,
  walkrun_cp_var = "ENMO_CV10s",
  met_var = "fake_METs",
  walkrun_formula = "fake_METs ~ ENMO",
  intermittent_formula = "fake_METs ~ ENMO + I(ENMO^2) + I(ENMO^3)"
)

TwoRegression documentation built on Sept. 5, 2022, 9:07 a.m.