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As the rempsyc package is starting to gain momentum, an increasing number of external sources are citing or writing about rempsyc. This document is meant to be a sort of recension of these external sources.


  • Thanks for rempsyc. Works out of the box like a charm. - Ulrich

  • I am writing to express my appreciation for the “rempsyc” package, which has significantly simplified the process of creating APA-style tables for my research. Thank you for your excellent work! - Liman

  • Thank you a thousand times for the work done on these R packages, on the vignettes, the articles… Currently completing my MSc thesis, you allow me to save considerable time! Thanks! - Guillaume

  • I am loving the function nice_table to create APA formatted tables and it has worked for me wonderfully many times. - Seglima

  • This is one of the most helpful R packages I’ve used in years! It saves hours of time and patience and is super easy to implement! - Mark

  • What a fantastic package. Thank you. - John

  • After some hours of working with the nice_table function, I got to know it pretty well. It is working perfect – I am impressed - Mihaly

  • Thanks for the great work on this package - Olivier

  • I have been using your rempsyc package in R to generate tables, to which I am extremely grateful. Thank you for having come up with such useful package - Keith

  • Thank you for providing this useful package! - Sebastian

  • Thank you for creating such a helpful package for APA tables - I hope this will be a life saver for my thesis formatting - Michaela

  • Just discovered your Publication-ready APA tables tutorials. They are Great! Thank you so much - Yayouk

  • I also just want to say how much I love this package and function so much! Thank you so much for your work and contribution! - Seungju

  • Your rempsyc package is amazing! - Ville

  • Thanks for this wonderful and useful package - Maya

  • Your package is amazing! - Hugo

  • I discovered your rempsyc extension to the flextable package and am quite impressed - Tom

  • This package is amazing – thank you so much - Taylor


Dr Lyndon Walker

Prof. Erik Marsja, PhD

Sharon Machlis


Jeromy Anglim


Université du Québec à Montréal


Zygmont, C. S. (2023). Managing the assumption of normality within the general linear model with small samples: Guidelines for researchers regarding if, when and how. The Quantitative Methods for Psychology, 19(4), 302-332.

D’Urso, E. D. (2023). Safeguarding psychological measurement: Psychometric approaches to correct for test and agreeing bias. [s.n.].

Leroy, N., Majerus, S., & D’Argembeau, A. (2023). The role of working memory capacity in the temporal compression of episodic memories: An individual differences approach.

Woolford, D. G., Kotsopoulos, D., & Samuels, B. (2023). Applied data science : data translators across the disciplines (Ser. Studies in big data, v. 125). Springer.

Hoffmann, S., Fischer, R., & Liepelt, R. (2023). Valence moderates the effect of stimulus-hand proximity on conflict processing and gaze-cueing. PeerJ, 11, e15286.

Apprich, N. F. A. (2022). Scrolling Through the Climate Crisis: Exploring the Impact of Climate Change Related Doomscrolling on Helplessness and Depression (Bachelor’s thesis, University of Twente).

Jensen, I. N., & Westergaard, M. (2022). Syntax Matters: Exploring the Effect of Linguistic Similarity in Third Language Acquisition. Language Learning.