activAnalyzer (version 2.1.2)

compute_mets: Compute metabolic equivalent of task (MET) values

Description

This function computes metabolic equivalent of task (METs) from weight, sex, accelerometer counts, and a published equation from one of the following scientific articles: Sasaki et al. (2011; doi:10.1016/j.jsams.2011.04.003); Santos-Lozano et al. (2013; 10.1055/s-0033-1337945); Freedson et al. (1998; doi: 10.1097/00005768-199805000-00021). This function is wrapped within the mark_intensity function.

Usage

compute_mets(
  data,
  equation = c("Sasaki et al. (2011) [Adults]", "Santos-Lozano et al. (2013) [Adults]",
    "Freedson et al. (1998) [Adults]", "Santos-Lozano et al. (2013) [Older adults]"),
  weight = 70,
  sex = c("male", "female", "intersex", "undefined", "prefer not to say")
)

Value

A numeric vector.

Arguments

data

A dataframe obtained using the prepare_dataset function.

equation

A character string to indicate the equation to be used for estimating METs.

weight

A numeric value in kg.

sex

A character value.

Examples

library(magrittr)
file <- system.file("extdata", "acc.agd", package = "activAnalyzer")
mydata <- prepare_dataset(data = file)
mydata_with_wear_marks <- mydata %>% mark_wear_time() %>% 
dplyr::filter(days == 2 & time >= hms::as_hms("14:00:00") & time <= hms::as_hms("15:00:00")) 
mets <- compute_mets(
    data = mydata_with_wear_marks,
    equation = "Sasaki et al. (2011) [Adults]", 
    weight = 67, 
    sex = "male"
    )
mets