load_data: Load MeLiDos datasets from project repositories

In melidosData: Load Data from the MeLiDos Field Study

Load MeLiDos datasets from project repositories

Description

load_data() is the main entry point of the package. It downloads one modality from one or more MeLiDos sites and returns either a single data frame (one site) or a named list with class "melidos_data" (multiple sites).

Usage

load_data(
  modality = c("light_glasses", "light_chest", "light_wrist", "light_glasses_1minute",
    "light_chest_1minute", "light_wrist_1minute", "acceptability", "ase", "chronotype",
    "demographics", "evaluation", "health", "leba", "trial_times", "vlsq8",
    "currentconditions", "exercisediary", "experiencelog", "lightexposurediary",
    "sleepdiaries", "wearlog", "wellbeingdiary"),
  site = c("all", "BAUA", "FUSPCEU", "IZTECH", "KNUST", "MPI", "RISE", "THUAS", "TUM",
    "UCR")
)

Arguments

modality	Dataset to load.
site	Site(s) to load. Use "all" for all available sites.

Details

Use flatten_data() to stack multi-site results into one tibble with a site column.

See the README of the package for a description of sites and modalities.

Value

A data frame when one site is selected, or a melidos_data list for multiple sites.

Source

https://github.com/MeLiDosProject

Examples

# load one questionnaire modality for two sites
sleep_all <- load_data("sleepdiaries", site = c("TUM", "RISE"))

# flatten to a single tibble with a site column
sleep_flat <- flatten_data(sleep_all, tz = "UTC")
head(sleep_flat)

# load one site only (returns a data frame)
sleep_tum <- load_data("sleepdiaries", site = "TUM")

melidosData documentation built on April 22, 2026, 5:09 p.m.