Demo data

What can these demo data be used for?

Several demo datasets are distributed with CogStat. These data can be used to check the abilities of CogStat.

Many of these datasets are supplementary materials of popular statistics textbooks. These datasets could be used to learn statistics from those textbooks, while using CogStat to get different insights into the data.

How to use the demo data?

Open these files from Data > Open demo data file..., then analyze the data in the usual way.

Note that:

• Not all files can be opened. For example, some csv files include leading lines before the actual data, and this cannot be handled easily in an automatic data importing solution. Similarly, some xls files include not only the data, but some additional cells with calculations, and because of these cells, the automatic data import routines cannot open the file.
• Not all files include measurement level information. The files are the original files of those textbooks or software packages, and many of them do not include the measurement level information.

List of available datasets

• diffusion model folder
  • Data of the PyDDM package. https://pyddm.readthedocs.io/en/stable/quickstart.html
  • Data of the hddm package. https://hddm.readthedocs.io/en/latest/
  • Data of Krajcsi, Lengyel, & Kojouharova (2018) https://doi.org/10.3389/fpsyg.2018.00124. https://osf.io/jw5ha/
• Faulkenberry folder
  • Navarro, D.J., Foxcroft, D.R., & Faulkenberry, T.J. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. https://learnstatswithjasp.com
• Field folder
  • Andy Field (2021): Discovering Statistics Using R and RStudio (2nd edition). https://www.discovr.rocks
  • The data of the SPSS and the SAS version of this popular book cannot be distributed with CogStat because of copyright limitations, but those data files can also be used in CogStat. Download the SPSS or the SAS files for the respective book version and drag-and-drop the file on the CogStat app window.
• Fodor folder (new in v2.4)
  • Navarro DJ and Fodor R (2022). Learning Statistics with CogStat: A tutorial for psychology students and other beginners. (First edition). http://www.learningstatisticswithcogstat.com
• Foxcroft folder
  • Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). http://www.learnstatswithjamovi.com
• Haasz folder (new in v2.5)
  • Evelin Haász’s CogStat adaptation of the book: Matthew J. C. Crump, Anjali Krishnan, Stephen Volz, and Alla Chavarga (2018) Answering questions with data: Lab Manual https://www.crumplab.com/statisticsLab/
• Hungarian folder
  • Datasets for Hungarian textbooks and data
    • Takács folder
      • Takács Szabolcs (2016). Bevezetés a matematikai statisztikába. Antarész Kiadó. http://www.antaresz.hu/
• Irizarry folder
  • Rafael A. Irizarry (2020): Introduction to Data Science. https://rafalab.github.io/dsbook/
• Navarro folder
  • DJ Navarro (2018). Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6). https://learningstatisticswithr.com
• Poldrack folder
  • Russell A. Poldrack: Statistical Thinking for the 21st Century. Draft: 2020-12-17. https://statsthinking21.org
• statsmodels folder
  • Data files from the statsmodels 0.12.1 Python module. https://github.com/statsmodels/statsmodels/tree/master/statsmodels/datasets

More data

See our data analysis and statistics resources.