Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Data and R code for the manuscript: Bračić, M., Bierbaum, L., Peng ,M., Nimalavachchlan L., Siewert, V., Kaiser, S., Sachser, N., & Richter, S. H. (2023). The behavioural ecology of optimism: exploring potential consequences of judgement bias in mice Data and R code for analysis of potential ecological consequences of judgment bias in mice <strong>AUTHOR</strong>: Marko Bracic <strong>CONTACT</strong>: mbracic192@gmail.com **INSTITUTION**: University of Münster, Department for Behavioural Biology **FIRST RELEASE DATE**: June 2023 AIM: Investigate ecological consequences of (cognitive) judgment bias (aka "optimism") The repository includes the following files: ## <strong>Data</strong> Data files used for statistical analysis and visualisation ECT_chambers.csv contains data used to compare the response of mice to predator and safe chamber in the ECT JBT_all.csv contains data used to analyse the response of mice in the JBT JBTxECT_day.csv contains data used to assess the relationship between JBT and ECT as well as the repeatability of the ECT JBTxECT_id.csv contains data used to assess the repose to predator cues compared to training criteria in ECT as well as to visualise the relationship between JBT and ECT ## <strong>R scripts</strong> R scripts used to perform statistical analysis and visualisation: Stats_figures_ECT.R contains the R code used to analyse and visualise the behavioural response of mice in the ECT Stats_figures_JBT.R contains the R code used to analyse and visualise the response of mice in the JBT Stats_figures_JBTxECT.R contains the R code used to assess the relationship between JBT and ECT as well as the repeatability of the ECT ## <strong>Readme files </strong> readme.docx shorty describes how the data was generated and how to run the R scripts. readme.csv list and short descriptions of variables in the data
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.