A Hack for Editing JASP Graphs

From JASP 0.13 onwards, it is possible to save JASP graphs “as pptx”, courtesy of the R package “officer”. The resulting .pptx file can then be easily edited in Powerpoint or its open-source cousin Impress. Hence, “save as pptx” offers a new opportunity to edit JASP graphs. Obviously this is a temporary patch and not the ultimate solution; full graph…

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JASP 0.13.1: Small fixes

JASP 0.13.1 fixes several small issues. Specifically: Previously, our new “save as powerpoint” option for figures did not work on MacOS. Now it does. For some time, JASP was unstable on MacOS with Intel Iris GPU. This has now been fixed. Windows users with a “foreign” character in their username experienced problems. We have resolved this. A bug concerning changing…

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Bayesian Cognitive Modeling Workshop Postponed to 2021

This is an update regarding the Amsterdam summer workshop “Bayesian Modeling for Cognitive Science” originally scheduled for August 17-21, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. With a heavy heart, we therefore decided to postpone the workshop to next year. We believe that the…

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JASP Workshop Goes Online, Fees Reduced

This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” originally scheduled for August 24-25, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. We therefore decided to offer an online version of the workshop on the same dates. The…

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Introducing JASP 0.13

JASP 0.13 has been released and is now available on our download page. JASP 0.13 contains the following new features and improvements: Linear Mixed Models and Generalized Linear Mixed Models. JASP version 0.13 adds the possibility to analyze both classical and Bayesian linear mixed models and generalized linear mixed models. This analysis is now available on the ribbon, in between…

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Training Videos for Using JASP in Online Statistics Instruction

As statistics instructors, students, and researchers around the world discover JASP, more of them a seeking guidance on how to use it. When your software is being developed at “breakneck speed” it is sometimes difficult to keep up with training. The JASP team has added a series of training videos for common frequentist statistical tests using the newest JASP Version…

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Finished: The JASP Data Library (1st ed.)

In a previous post, “Hell is other people’s data”, we introduced a first attempt to document the 50 data sets that constitute the JASP Data Library. At the time, we only had a preface and two chapters. We are happy to report that all 50 data sets have now been documented. Each of the 50 chapters follows the JASP data…

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Frequentist and Bayesian Equivalence Testing in JASP

This post demonstrates the Equivalence Testing Module, new in JASP 0.12. In traditional hypothesis testing, both frequentist and Bayesian, the null hypothesis is often specified as a point (i.e., there is no effect whatsoever in the population). Consequently, in very large samples, small but practically meaningless deviations from the point-null will lead to its rejection. In order to take into…

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JASP for Education and Research; A Pilot Project at Utrecht University

At Utrecht University JASP is increasingly used by lecturers in statistics courses and by thesis students and researchers for the (Bayesian) evaluation of their data. To contribute to the further development of JASP and to facilitate its use at Utrecht University a pilot project has started executed by scientists from Utrecht University. Core features of this project are: the addition…

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Bayesian Inference in JASP: A New Guide For Students

Mark Goss-Sampson’s popular manual “Statistical analysis with JASP: A guide for students” has now been followed up by a new guide that focuses on Bayesian inference. The guide first introduces the JASP interface and data handling procedures, and then outlines the Bayesian terminology together with an explanation of the different plots that are typically produced by the analyses. Next, the…

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Improved Annotations in JASP 0.12, Demonstrated with a Bayesian Meta-Analysis of Kristal et al., 2020

The goal of this JASP blog post is threefold: To demonstrate the improved ability to annotate analyses. For annotations, JASP 0.12 now uses Quill. As stated on https://quilljs.com/, “Quill is a free, open source WYSIWYG editor built for the modern web. With its modular architecture and expressive API, it is completely customizable to fit any need.“ To demonstrate the ease…

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