Allaire, J. J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., … Iannone, R. (2020). rmarkdown: Dynamic documents for R. Retrieved from

Anscombe, F. J. (1973). Graphs in statistical analysis. The American Statistician, 27(1), 17–21.

Bache, S. M., & Wickham, H. (2014). magrittr: A forward-pipe operator for R. Retrieved from

Behrens, J. T. (1997). Principles and procedures of exploratory data analysis. Psychological Methods, 2(2), 131–160.

Bertin, J. (2011). Semiology of graphics: Diagrams, networks, maps (Vol. 1). ESRI Press.

Breiman, L., & others. (2001). Statistical modeling: The two cultures (with comments and a rejoinder by the author). Statistical Science, 16(3), 199–231.

Brewer, C. (2019). ColorBrewer 2.0: Color advice for cartography. Retrieved from

Cairo, A. (2012). The functional art: An introduction to information graphics and visualization. Berkeley CA: New Riders.

Cairo, A. (2016). The truthful art: Data, charts, and maps for communication. Berkeley CA: New Riders.

Carlson, M., Wilcox, R., Chou, C.-P., Chang, M., Yang, F., Blanchard, J., … Clark, F. (2011). Psychometric properties of reverse-scored items on the CES-D in a sample of ethnically diverse older adults. Psychological Assessment, 23(2), 558–562.

Christiansen, T., & Torkington, N. (2003). Perl Cookbook: Solutions & examples for Perl programmers (2nd ed.). O’Reilly Media, Inc.

Colebourne, S., & O’Neill, B. (2010). Joda-time: Java date and time API. Release, 1(2), 4–1. Retrieved from

Crameri, F. (2018). Scientific colour-maps. Zenodo.

Donoho, D. (2017). 50 years of data science. Journal of Computational and Graphical Statistics, 26(4), 745–766. Retrieved from

Dowle, M., & Srinivasan, A. (2019). data.table: Extension of ‘data.frame‘. Retrieved from

Gagolewski, M. (2020). R package stringi: Character string processing facilities. Retrieved from

Garnier, S. (2018a). viridis: Default color maps from ’matplotlib’. Retrieved from

Garnier, S. (2018b). viridisLite: Default color maps from ’matplotlib’ (lite version). Retrieved from

Gigerenzer, G. (2004). Mindless statistics. The Journal of Socio-Economics, 33(5), 587–606.

Grolemund, G., & Wickham, H. (2011). Dates and times made easy with lubridate. Journal of Statistical Software, Articles, 40(3), 1–25.

Henry, L., & Wickham, H. (2020). purrr: Functional programming tools. Retrieved from

Hester, J. (2020). glue: Interpreted string literals. Retrieved from

Huggett, N. (2019). Zeno’s paradoxes. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy (Winter 2019).; Metaphysics Research Lab, Stanford University.

Ihaka, R., Murrell, P., Hornik, K., Fisher, J. C., Stauffer, R., Wilke, C. O., … Zeileis, A. (2019). colorspace: A toolbox for manipulating and assessing colors and palettes. Retrieved from

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112). Retrieved from

Knuth, D. E. (1984). Literate programming. The Computer Journal, 27(2), 97–111.

Le Poidevin, R. (2019). The experience and perception of time. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy (Summer 2019).; Metaphysics Research Lab, Stanford University.

Locke, S., & D’Agostino McGowan, L. (2018). datasauRus: Datasets from the datasaurus dozen. Retrieved from

Markosian, N. (2016). Time. In E. N. Zalta (Ed.), The stanford encyclopedia of philosophy (Fall 2016).; Metaphysics Research Lab, Stanford University.

Matejka, J., & Fitzmaurice, G. (2017). Same stats, different graphs: Generating datasets with varied appearance and identical statistics through simulated annealing. Proceedings of the 2017 CHI conference on human factors in computing systems, 1290–1294.

Müller, K. (2017). here: A simpler way to find your files. Retrieved from

Müller, K. (2020). hms: pretty time of day. Retrieved from

Müller, K., & Wickham, H. (2019). tibble: Simple data frames. Retrieved from

Neth, H. (2020). ds4psy: Data science for psychologists. Retrieved from

Neth, H., & Gradwohl, N. (2019). unikn: Graphical elements of the University of Konstanz’s corporate design. Retrieved from

Neuwirth, E. (2014). RColorBrewer: ColorBrewer palettes. Retrieved from

Nickerson, R. S. (2000). Null hypothesis significance testing: A review of an old and continuing controversy. Psychological Methods, 5(2), 241–301.

Okabe, M., & Ito, K. (2008). Color universal design (CUD): How to make figures and presentations that are friendly to colorblind people. J*Fly: Data Depository for Drosophila Researchers. Retrieved from

Phillips, N. (2017). yarrr: A companion to the e-book "yarrr!: The pirate’s guide to R". Retrieved from

Phillips, N., Neth, H., Woike, J., & Gaissmaer, W. (2020). FFTrees: Generate, visualise, and evaluate fast-and-frugal decision trees. Retrieved from

Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.

R Core Team. (2020). R: A language and environment for statistical computing. Retrieved from

Robinson, D. (2019). gutenbergr: Download and process public domain works from project gutenberg. Retrieved from

Seligman, M. E., Steen, T. A., Park, N., & Peterson, C. (2005). Positive psychology progress: Empirical validation of interventions. American Psychologist, 60(5), 410.

Simmons, J., Nelson, L., & Simonsohn, U. (2014). Data from paper “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant”. Journal of Open Psychology Data, 2(1).

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359–1366.

Spinu, V., Grolemund, G., & Wickham, H. (2020). lubridate: Make dealing with dates a little easier. Retrieved from

Tufte, E. R. (2001). The visual display of quantitative information (2nd ed.). Cheshire, CT: Graphics Press.

Tufte, E. R. (2006). Beautiful evidence (Vol. 1). Cheshire, CT: Graphics Press.

Tufte, E. R., Goeler, N. H., & Benson, R. (1990). Envisioning information (Vol. 126). Cheshire, CT: Graphics Press.

Tukey, J. W. (1969). Analyzing data: Sanctification or detective work. American Psychologist, 2, 83–91.

Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.

Tukey, J. W. (1980). We need both exploratory and confirmatory. The American Statistician, 34(1), 23–25. Retrieved from

Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131.

Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). Retrieved from

Wickham, H. (2014a). Advanced R (1st ed.). Retrieved from

Wickham, H. (2014b). Tidy data. Journal of Statistical Software, 59(10), 1–23.

Wickham, H. (2015). R packages: Organize, test, document, and share your code. Retrieved from

Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Retrieved from

Wickham, H. (2019a). stringr: Simple, consistent wrappers for common string operations. Retrieved from

Wickham, H. (2019b). tidyverse: Easily install and load the ’tidyverse’. Retrieved from

Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686.

Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., … Dunnington, D. (2020). ggplot2: Create elegant data visualisations using the grammar of graphics. Retrieved from

Wickham, H., François, R., Henry, L., & Müller, K. (2020). dplyr: A grammar of data manipulation. Retrieved from

Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. Retrieved from

Wickham, H., & Henry, L. (2020). tidyr: Tidy messy data. Retrieved from

Wickham, H., Hester, J., & Francois, R. (2018). readr: Read rectangular text data. Retrieved from

Wilkinson, L. (2005). The grammar of graphics (2nd edition). Springer.

Woodworth, R. J., O’Brien-Malone, A., Diamond, M. R., & Schüz, B. (2017). Web-based positive psychology interventions: A reexamination of effectiveness. Journal of Clinical Psychology, 73(3), 218–232.

Woodworth, R. J., O’Brien-Malone, A., Diamond, M. R., & Schüz, B. (2018). Data from “Web-based positive psychology interventions: A reexamination of effectiveness”. Journal of Open Psychology Data, 6(1).

Xie, Y. (2015). Dynamic documents with R and knitr (2nd ed.). Retrieved from

Xie, Y. (2020a). bookdown: Authoring books and technical documents with R Markdown. Retrieved from

Xie, Y. (2020b). knitr: A general-purpose package for dynamic report generation in R. Retrieved from

Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R Markdown: The definitive guide. Retrieved from

Yau, N. (2011). Visualize this: The FlowingData guide to design, visualization, and statistics. Hoboken, NJ: John Wiley & Sons.

Yau, N. (2013). Data points: Visualization that means something. Hoboken, NJ: John Wiley & Sons.