Angewandte Datenverarbeitung und Visualisierung
  • D. Palleschi
  • Moodle
  1. Literaturverzeichnis
  • Kursübersicht
    • Kursübersicht
    • Erforderliche Software
    • Sitzungsinformationen
  • Grundlagen
    • 1  Einführung in R und RStudio
    • 2  Datenvisualiserung 1
    • 3  Dynamische Berichte mit Quarto
    • 4  Data Wrangling 1: Transformation
    • 5  Datenvisualisierung 2
  • Nächste Stufe
    • 6  Einlesen von Daten
    • 7  Deskriptive Statistik
    • 8  Datenvisualisierung 3
    • 9  Data Wrangling 2: Tidying
  • Fortgeschrittene Themen
    • 10  Base R
    • 11  Datenvisualisierung 4
    • 12  Troubleshooting
  • Berichte
    • 13  Bericht 1
    • 14  Bericht 2
  • Literaturverzeichnis
  • Anhang
    • A  Aufgaben

Literaturverzeichnis

Baayen, R. H. (2008). Analyzing Linguistic Data: A Practical Introduction to Statistics using R.
Baayen, R. H., & Shafaei-Bajestan, E. (2019). languageR: Analyzing linguistic data: A practical introduction to statistics. https://CRAN.R-project.org/package=languageR
Biondo, N., Soilemezidi, M., & Mancini, S. (2022). Yesterday is history, tomorrow is a mystery: An eye-tracking investigation of the processing of past and future time reference during sentence reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(7), 1001–1018. https://doi.org/10.1037/xlm0001053
Davies, R., Locke, S., & D’Agostino McGowan, L. (2022). datasauRus: Datasets from the datasaurus dozen. https://CRAN.R-project.org/package=datasauRus
Müller, K. (2020). Here: A simpler way to find your files. https://CRAN.R-project.org/package=here
Nordmann, E., & DeBruine, L. (2022). Applied data skills. Zenodo. https://doi.org/10.5281/zenodo.6365078
Nordmann, E., McAleer, P., Toivo, W., Paterson, H., & DeBruine, L. M. (2022). Data Visualization Using R for Researchers Who Do Not Use R. Advances in Methods and Practices in Psychological Science, 5(2), 251524592210746. https://doi.org/10.1177/25152459221074654
Perkel, J. M. (2023). Six tips for better coding with ChatGPT. Nature, 618(7964), 422–423. https://doi.org/10.1038/d41586-023-01833-0
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019a). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., … Yutani, H. (2019b). Welcome to the Tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R for Data Science (2nd ed.).
Winter, B. (2013). Linear models and linear mixed effects models in R: Tutorial 1 (No. arXiv:1308.5499).
Winter, B. (2014). A very basic tutorial for performing linear mixed effects analyses (Tutorial 2) (No. arXiv:1308.5499).
Winter, B. (2019). Statistics for Linguists: An Introduction Using R. In Statistics for Linguists: An Introduction Using R. Routledge. https://doi.org/10.4324/9781315165547
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. (2023). Tinytex: Helper functions to install and maintain TeX live, and compile LaTeX documents. https://github.com/rstudio/tinytex
14  Bericht 2
A  Aufgaben
Quellcode
# Literaturverzeichnis {.unnumbered}

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