Hoofdstuk 44 Colofon

44.1 Auteurs

Dit open Methodologie en Statistiek boek wordt gemaakt door medewerkers van de sectie Methoden en Technieken van de Vakgroep Theorie Methode en Statistiek aan de Faculteit Psychologie aan de Open Universiteit.

44.2 Datasets

De Palmer Penguins dataset is verzameld en beschikbaar gesteld door Kristen Gorman en Allison Horst (Horst et al., 2020).

44.3 Figuren

De cover afbeelding is CC0 oftewel Public Domain (gemaakt door Gjalt-Jorn Peters).

Figuur 2.1 is CC-BY-SA, MaxxL (origineel: https://nl.m.wikipedia.org/wiki/Bestand:Pavlov%27s_dog_conditioning.svg).

Figuur 11.1 is CC-BY, Allison Horst (origineel: https://github.com/allisonhorst/stats-illustrations/blob/main/other-stats-artwork/not_normal.png).

Figuur 11.2 is CC-BY, Allison Horst (origineel: https://github.com/allisonhorst/stats-illustrations/blob/master/other-stats-artwork/coding_cases.png).

Figuur 13.6 is CC-BY, Allison Horst, (origineel: https://github.com/allisonhorst/stats-illustrations/blob/master/other-stats-artwork/summary_statistics.png).

44.4 R packages

De volgende R-packages zijn gebruikt in dit boek:

Referenties

Auguie, B. (2017). gridExtra: Miscellaneous functions for "grid" graphics. https://CRAN.R-project.org/package=gridExtra
Azzalini, A. A. (2023). The R package sn: The skew-normal and related distributions such as the skew-\(t\) and the SUN (version 2.1.1). https://cran.r-project.org/package=sn
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
Ben-Shachar, M. S., Lüdecke, D., & Makowski, D. (2020). effectsize: Estimation of effect size indices and standardized parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss.02815
Bernaards, C. A., & Jennrich, R. I. (2005). Gradient projection algorithms and software for arbitrary rotation criteria in factor analysis. Educational and Psychological Measurement, 65, 676–696. https://doi.org/10.1177/0013164404272507
Champely, S. (2020). Pwr: Basic functions for power analysis. https://CRAN.R-project.org/package=pwr
Csárdi, G., Hester, J., Wickham, H., Chang, W., Morgan, M., & Tenenbaum, D. (2024). Remotes: R package installation from remote repositories, including ’GitHub’. https://CRAN.R-project.org/package=remotes
Garnier, Simon, Ross, Noam, Rudis, Robert, Camargo, Pedro, A., Sciaini, Marco, Scherer, & Cédric. (2023). viridis(Lite) - colorblind-friendly color maps for r. https://doi.org/10.5281/zenodo.4679423
Horst, A. M., Hill, A. P., & Gorman, K. B. (2020). Palmerpenguins: Palmer archipelago (antarctica) penguin data. https://doi.org/10.5281/zenodo.3960218
Kay, M. (2023). ggdist: Visualizations of distributions and uncertainty. https://doi.org/10.5281/zenodo.3879620
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13
Last, F. (2021). md4e: Markdown for education.
Love, J. (2023). Jmvcore: Dependencies for the ’jamovi’ framework. https://CRAN.R-project.org/package=jmvcore
Müller, K. (2020). Here: A simpler way to find your files. https://CRAN.R-project.org/package=here
Nenadic, O., & Greenacre, M. (2007). Correspondence analysis in r, with two- and three-dimensional graphics: The ca package. Journal of Statistical Software, 20(3), 1–13. http://www.jstatsoft.org
Pedersen, T. L. (2024). Patchwork: The composer of plots. https://CRAN.R-project.org/package=patchwork
Peters, G.-J. Y., & Gruijters, S. (2023). Ufs: A collection of utilities. https://ufs.opens.science
Peters, G.-J., & Verboon, P. (2023). Rosetta: Parallel use of statistical packages in teaching. https://CRAN.R-project.org/package=rosetta
Schloerke, B., Cook, D., Larmarange, J., Briatte, F., Marbach, M., Thoen, E., Elberg, A., & Crowley, J. (2023). GGally: Extension to ’ggplot2’. https://CRAN.R-project.org/package=GGally
Slowikowski, K. (2024). Ggrepel: Automatically position non-overlapping text labels with ’ggplot2’. https://CRAN.R-project.org/package=ggrepel
Verboon, P., & Peters, G.-J. Y. (2023). Scda: Analysing single case data.
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
Wilke, C. O., & Wiernik, B. M. (2022). Ggtext: Improved text rendering support for ’ggplot2’. https://CRAN.R-project.org/package=ggtext
William Revelle. (2024). Psych: Procedures for psychological, psychometric, and personality research. Northwestern University. https://CRAN.R-project.org/package=psych
Xie, Y. (2014). Knitr: A comprehensive tool for reproducible research in R. In V. Stodden, F. Leisch, & R. D. Peng (Eds.), Implementing reproducible computational research. Chapman; Hall/CRC.
Xie, Y. (2016). Bookdown: Authoring books and technical documents with R markdown. Chapman; Hall/CRC. https://bookdown.org/yihui/bookdown
Xie, Y. (2019). TinyTeX: A lightweight, cross-platform, and easy-to-maintain LaTeX distribution based on TeX live. TUGboat, 40(1), 30–32. https://tug.org/TUGboat/Contents/contents40-1.html
Xie, Y., Dervieux, C., & Riederer, E. (2020). R markdown cookbook. Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook
Zhu, H. (2021). kableExtra: Construct complex table with ’kable’ and pipe syntax. https://CRAN.R-project.org/package=kableExtra