knitr::opts_chunk$set( fig.width = 6, fig.height = 6, warning = FALSE, message = FALSE, results = "hide", out.width = "30%" ) knitr::opts_knit$set(root.dir = tempdir())
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
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. https://doi.org/10.20982/tqmp.19.4.p302
D'Urso, E. D. (2023). Safeguarding psychological measurement: Psychometric approaches to correct for test and agreeing bias. [s.n.]. https://research.tilburguniversity.edu/en/publications/3a1f6895-a76b-4e35-b32b-8ac957a040af
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. https://doi.org/10.31234/osf.io/n9md5
Woolford, D. G., Kotsopoulos, D., & Samuels, B. (2023). Applied data science : data translators across the disciplines (Ser. Studies in big data, v. 125). Springer. https://doi.org/10.1007/978-3-031-29937-7
Hoffmann, S., Fischer, R., & Liepelt, R. (2023). Valence moderates the effect of stimulus-hand proximity on conflict processing and gaze-cueing. PeerJ, 11, e15286. https://doi.org/10.7717/peerj.15286
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). https://purl.utwente.nl/essays/95569
Jensen, I. N., & Westergaard, M. (2022). Syntax Matters: Exploring the Effect of Linguistic Similarity in Third Language Acquisition. Language Learning. https://doi.org/10.1111/lang.12525
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