Aho, K. (2019). Asbio: A collection of statistical tools for biologists. Retrieved from
Allaire, J., Xie, Y., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., … Iannone, R. (2018). Rmarkdown: Dynamic documents for r. Retrieved from
Arnold, J. B. (2018). Ggthemes: Extra themes, scales and geoms for ’ggplot2’. Retrieved from
Auguie, B. (2017). gridExtra: Miscellaneous functions for "grid" graphics. Retrieved from
Ben-Shachar, M. S., Makowski, D., & Lüdecke, D. (2021). Effectsize: Indices of effect size and standardized parameters. Retrieved from
Champely, S. (2018). Pwr: Basic functions for power analysis. Retrieved from
Dinno, A. (2017). Dunn.test: Dunn’s test of multiple comparisons using rank sums. Retrieved from
Eklund, A. (2016). Beeswarm: The bee swarm plot, an alternative to stripchart. Retrieved from
Fox, J., Weisberg, S., & Price, B. (2018). Car: Companion to applied regression. Retrieved from
Gastwirth, J. L., Gel, Y. R., Hui, W. L. W., Lyubchich, V., Miao, W., & Noguchi, K. (2017). Lawstat: Tools for biostatistics, public policy, and law. Retrieved from
Giraudoux, P. (2018). Pgirmess: Spatial analysis and data mining for field ecologists. Retrieved from
Gross, J., & Ligges, U. (2015). Nortest: Tests for normality. Retrieved from
Hays, W. L. (1994). Statistics (5th ed., pp. xviii, 1112 p.). Book, Fort Worth: Harcourt College Publishers.
Hollander, M., Wolfe, D. A., & Chicken, E. (2013). Nonparametric statistical methods (3rd ed., pp. xiii, 819 pages). Book, Hoboken, New Jersey: John Wiley; Sons, Inc.
Hope, R. M. (2013). Rmisc: Ryan miscellaneous. Retrieved from
Hothorn, T., Bretz, F., & Westfall, P. (2017). Multcomp: Simultaneous inference in general parametric models. Retrieved from
Hothorn, T., Hornik, K., van de Wiel, M. A., Winell, H., & Zeileis, A. (2017). Coin: Conditional inference procedures in a permutation test framework. Retrieved from
Howell, D. C. (2013). Statistical methods for psychology (8th ed., pp. xix, 770 p.). Book, Belmont, CA: Wadsworth Cengage Learning.
Iannone, R., Cheng, J., & Schloerke, B. (2019). Gt: Easily create presentation-ready display tables. Retrieved from
Komsta, L. (2011). Outliers: Tests for outliers. Retrieved from
Lau, M. K. (2013). DTK: Dunnett-tukey-kramer pairwise multiple comparison test adjusted for unequal variances and unequal sample sizes. Retrieved from
Lawrence, M. A. (2016). Ez: Easy analysis and visualization of factorial experiments. Retrieved from
Lemon, J., Bolker, B., Oom, S., Klein, E., Rowlingson, B., Wickham, H., … Groemping, U. (2018). Plotrix: Various plotting functions. Retrieved from
Lenth, R. (2019). Emmeans: Estimated marginal means, aka least-squares means. Retrieved from
Lüdecke, D. (2019). Sjstats: Collection of convenient functions for common statistical computations. Retrieved from
Mair, P., & Wilcox, R. (2018). WRS2: A collection of robust statistical methods. Retrieved from
Mangiafico, S. (2019). Rcompanion: Functions to support extension education program evaluation. Retrieved from
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2017). Designing experiments and analyzing data : A model comparison perspective (Third edition /, pp. pages cm). Book, New York, NY: Routledge.
Morales, M., R Development Core Team, with code developed by the, R-help listserv community, with general advice from the, & Duncan Murdoch., especially. (2017). Sciplot: Scientific graphing functions for factorial designs. Retrieved from
Morey, R. D., & Rouder, J. N. (2018). BayesFactor: Computation of bayes factors for common designs. Retrieved from
Navarro, D. (2015). Lsr: Companion to "learning statistics with r". Retrieved from
Novack-Gottshall, P., & Wang, S. C. (2018). KScorrect: Lilliefors-corrected kolmogorov-smirnov goodness-of-fit tests. Retrieved from
Patil, I. (2021). Ggstatsplot: ggplot2 based plots with statistical details. Retrieved from
Peters, G.-J. Y. (2017). Diamond plots: A tutorial to introduce a visualisation tool that facilitates interpretation and comparison of multiple sample estimates while respecting their inaccuracy. PsyArXiv. Retrieved from
Pollard, K. S., Gilbert, H. N., Ge, Y., Taylor, S., & Dudoit, S. (2018). Multtest: Resampling-based multiple hypothesis testing.
Pruzek, R. M., & Helmreich, J. E. (2014). Granova: Graphical analysis of variance. Retrieved from
R Core Team. (2018). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from
Revelle, W. (2019). Psych: Procedures for psychological, psychometric, and personality research. Retrieved from
RStudio Team. (2015). RStudio: Integrated development environment for r. Boston, MA: RStudio, Inc. Retrieved from
Sarkar, D. (2018). Lattice: Trellis graphics for r. Retrieved from
Singmann, H., Bolker, B., Westfall, J., & Aust, F. (2018). Afex: Analysis of factorial experiments. Retrieved from
Team, M. C., Blanchard, G., Dickhaus, T., Hack, N., Konietschke, F., Rohmeyer, K., … Werft, W. (2017). Mutoss: Unified multiple testing procedures. Retrieved from
Wheeler, B., & Torchiano, M. (2016). lmPerm: Permutation tests for linear models. Retrieved from
Wickham, H. (2016). Plyr: Tools for splitting, applying and combining data. Retrieved from
Wickham, H., Chang, W., Henry, L., Pedersen, T. L., Takahashi, K., Wilke, C., & Woo, K. (2018). ggplot2: Create elegant data visualisations using the grammar of graphics. Retrieved from
Wickham, H., François, R., Henry, L., & Müller, K. (2019). Dplyr: A grammar of data manipulation. Retrieved from
Wilcox, R. R. (2016). Introduction to robust estimation and hypothesis testing (4th edition., pp. pages cm). Book, Waltham, MA: Elsevier.
Xie, Y. (2015). Dynamic documents with R and knitr (2nd ed.). Boca Raton, Florida: Chapman; Hall/CRC. Retrieved from
Xie, Y. (2018a). Bookdown: Authoring books and technical documents with r markdown. Retrieved from
Xie, Y. (2018b). Knitr: A general-purpose package for dynamic report generation in r. Retrieved from