image2data: An R package to turn images in data sets [r-libre/2716]

Caron, Pier-Olivier et Dufresne, Alexandre (2022). image2data: An R package to turn images in data sets. The Quantitative Methods for Psychology, 18 (2), 186-195. https://doi.org/10.20982/tqmp.18.2.p186

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Catégorie de document :	Articles de revues
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	Data visualization is an essential and powerful tool to generate hypotheses, uncover patterns, and disseminate 1ndings. It is crucial that introductory statistics courses train students to become critical authors and consumers of data visualization. Ludic data sets might help teaching statistics to students by making graphics more enjoyable, using images as instantaneous feedback, encouraging to discover hidden patterns, and reducing their focus on traditional hypothesis testing. Those data sets that have hidden images can be diffcult to come by for teachers. These considerations have led to the development of a package that could easily create data sets from images for educational purposes. The purpose of this study is to present image2data, an R package that generates data sets from images. In this study, we show how to install the package, explain the basic arguments, and show three examples on how it can be used for teaching. Future studies could evaluate the effectiveness and motivation generated by using hidden images in data sets. Our hope is that by using hidden image in data sets, students will be inspired to decrypt data sets and discover the unexpected.
Adresse de la version officielle :	https://www.tqmp.org/RegularArticles/vol18-2/p186/...
Déposant:	Caron, Pier-Olivier
Responsable :	Pier-Olivier Caron
Dépôt :	20 juill. 2022 13:00
Dernière modification :	20 juill. 2022 13:00

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