3  Your Notebook Name

Author

Affiliation

Firstname Lastname

Your University

Resource	Information
Data DOI	10.5281/zenodo.1234567
Git + DOI	Git 10.5281/zenodo.7654321
Short Description	Short description of the main contributions and notebook structure

3.1 Introduction

Write an introduction to the analysis. Give references via Mareis, Haug, and Drton (2025). The bibtex entries are saved in references.bib.

Mareis, Leopold, Stephan Haug, and Mathias Drton. 2025. “MaRDI’s Zenodo Community for Graphical Modeling and Causal Inference.” Proceedings of the Conference on Research Data Infrastructure 2.

3.2 Loading the Data

Create an R environment and save it in the file renv.lock with renv::init() and renv::snapshot(). For detailed information, see the renv website. Load the R environment with our standardized loading function.

# activate the chunk with eval=TRUE
source("../../load_environment.R")

Shortly describe the packages that were responsible for the R environment.

# Used packages, only for information.
library(package1) # function of package1
library(package2) # function of package2

Load the data. Prefereably from Zenodo:

# Load Data
zenodo <- ZenodoManager$new(logger = NULL)
record <- zenodo$getRecordByDOI("10.5281/zenodo.1234567")
files <- record$listFiles(pretty = TRUE)
alarm <- as.matrix(read.csv(files[1, 4]))

3.3 Analysis

Write some educational analysis text and carry out the analysis.

mean(c(1 + 2, 3 * 4))

[1] 7.5

Analysis in other languages, e.g., Python are welcome as well.

-1 / -2

[1] 0.5

# activate the chunk with eval=TRUE
source("../../close_environment.R")

Citing this Notebook

Please cite XYZ with the following bib item.

@article{XYZ
}

When using the ABC dataset, please give credit to the original author: Author year.

Additional Information

License Information: Please follow the above DOI for license information of data and code.

Contact: If you have suggestions, feel free to create an issue or contact the authors (your@mail.address).