syncR — Circadia Lab Data Integrator • syncR

syncR is the integrator and coordinator of the Circadia Lab R ecosystem.

⚠️ syncR is in early development and has not been formally tested. The API may change without notice and the package has not undergone peer review. Use with caution and verify outputs independently before using in any research context.

📖 What is syncR?

syncR provides a single, unified entry point for bringing together data across the Circadia Lab package ecosystem. It pulls sociodemographic and questionnaire data from tallieR, sleep diary data from slumbR, and actigraphy-derived circadian metrics from zeitR into one tidy, participant-indexed database.

syncR::sync() — pulling everything into alignment, just like the SCN does.

Just as the suprachiasmatic nucleus (SCN) coordinates biological rhythms across the body, syncR coordinates data streams across the suite — making cross-domain analysis (actigraphy vs. subjective sleep quality, circadian phase vs. demographics) effortless.

✨ Features

🔗 One function, three sources — sync() joins tallieR, slumbR, and zeitR outputs in a single call
🧩 Flexible joining — left, inner, or full join strategies to suit your study design
🪪 Participant-indexed — all outputs keyed on a shared participant ID column
🧹 Tidy output — returns a clean tibble ready for modelling or export
🔧 Source-agnostic — supply any combination of sources; omitted sources are silently ignored

🗂️ Project Structure

syncR/
├── R/
│   ├── syncR-package.R         # Package-level documentation
│   └── sync.R                  # Core sync() function
├── tests/
│   └── testthat/
│       └── test-sync.R         # Unit tests
├── vignettes/
│   └── syncR.Rmd               # Getting started vignette
├── .github/
│   └── workflows/
│       ├── R-CMD-check.yaml
│       └── pkgdown.yaml
├── _pkgdown.yml
└── DESCRIPTION

🚀 Getting Started

Prerequisites

R ≥ 4.1
dplyr, rlang, cli

Installation

# Install from GitHub
remotes::install_github("circadia-bio/syncR")

Basic usage

library(syncR)

db <- sync(
  tallie = tallieR::export(),   # sociodemographics + questionnaires
  slumb  = slumbR::export(),    # sleep diaries
  zeit   = zeitR::export()      # actigraphy + circadian metrics
)

Joining strategies

# Inner join — only participants present in all sources
db <- sync(tallie = ..., slumb = ..., zeit = ..., join = "inner")

# Full join — all participants, NAs where data is absent
db <- sync(tallie = ..., slumb = ..., zeit = ..., join = "full")

📦 Dependencies

Package	Role
`dplyr`	Data frame joining
`rlang`	Error handling and messaging
`cli`	Formatted console output

👥 Authors

Role	Name
Author & maintainer	Lucas França
Author	Mario Leocadio-Miguel

🛌 slumbR — sleep diary data collection and processing
⌚️ zeitR — wrist actigraphy analysis and circadian rhythm metrics
🧮 tallieR — sociodemographic and questionnaire data management
🔬 circadia-bio — the Circadia Lab GitHub organisation

📄 Licence

Released under the MIT License.

🔄 syncR