From 91625c25dcc545d7034728d25ac9a40ca3eb5db0 Mon Sep 17 00:00:00 2001 From: Renata Curty <63265343+rcurty@users.noreply.github.com> Date: Tue, 13 Feb 2024 12:53:58 -0800 Subject: [PATCH] Updated citation --- README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 85dccbd..6226ddb 100644 --- a/README.md +++ b/README.md @@ -4,15 +4,19 @@ **The project example folder is a simplified version of the original project available at: [https://osf.io/6mvq7](https://osf.io/6mvq7).** -Our example uses an adapted version of the data paper: Nitsch, F. J., Sellitto, M., & Kalenscher, T. (2021). The effects of acute and chronic stress on choice consistency. Psychoneuroendocrinology, 131, 105289. https://doi.org/10.1016/j.psyneuen.2021.105289. The data paper and its underlying data publicly available at [https://osf.io/6mvq7](https://osf.io/6mvq7) were adapted and used for educational purposes with the authors' permission. +Our example uses an adapted version of the data paper: + +Nitsch, F. J., Sellitto, M., & Kalenscher, T. (2021). Trier social stress test and food-choice: Behavioral, self-report & hormonal data. *Data in Brief*, 37, 107245. [https://doi.org/10.1016/j.dib.2021.107245](https://doi.org/10.1016/j.dib.2021.107245). + +The data paper and its underlying data publicly available at [https://osf.io/6mvq7](https://osf.io/6mvq7) were adapted and used for educational purposes with the authors' permission. ------------------------------ ## README This directory contains the data and analysis scripts required to computationally reproduce some of the results and plots reported -in "Nitsch, Sellitto & Kalenscher (2021). The effects of acute and chronic stress on choice consistency." Psychoneuroendocrinology is used in this workshop. +in [https://doi.org/10.1016/j.dib.2021.107245](https://doi.org/10.1016/j.dib.2021.107245). -All provided code is written in R (R version 4.0.0 (2020-04-24) -- "Arbor Day") and should work with more recent versions. +All provided code was written in R (R version 4.0.0 (2020-04-24) -- "Arbor Day") and should work with more recent versions. It requires the following packages to run the analysis code: - tidyverse - 1.3.2 - stringi - 1.7.8