In this blog post, we show how to train a classification model using JASP’s newly released Machine Learning Module. The goal of a classification task is to predict a categorical target variable based on a (possibly large) set of features/predictors. For instance, based on different concentrations of proteins, a medical specialist might want to classify tissue as “benign” or “malignant”.…
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JASP 0.11 has been released and is now available on our download page. This version adds the Machine Learning module with 13 brand new analyses that can be used for supervised and unsupervised learning. With supervised learning, the goal is to predict a target variable by learning from existing labeled data. The goal of unsupervised learning, on the other hand,…
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I am proud to announce the release of our free textbook Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry. This textbook, which is freely downloadable from https://learnstatswithjasp.com, continues the series of open-source adaptations of the popular text Learning Statistics with R by Danielle Navarro. Learning…
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JASP 0.11 will be released soon. This new version contains the Machine Learning module, including 13 brand new analyses!
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Mark Goss-Sampson’s manual “Statistical analysis with JASP: A guide for students” explains how to perform frequentist analyses in JASP. This manual has recently been updated to JASP 0.10.2.
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This post is an extended synopsis of Derks et al. (2019). JASP for Audit: Bayesian Tools for the Auditing Practice. Preprint available on PsyArXiv: https://psyarxiv.com/9f6ub/ Abstract Statistical theory lies at the core of many auditing guidelines and procedures. Consequently, an auditor needs easy-to-use software that implements the required statistical analyses as well as sufficient knowledge to interpret the results of…
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JASP 0.10.2 has been released and is now available on our download page. This version contains the following new features and improvements: The “JASP for Audit” module that provides a systematic workflow for the auditing practice and supports both frequentist and Bayesian analyses
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JASP 0.10 has been released and is now available on our download page. As we showed in our previous blog post this release contains some major improvements. We completely revamped our user interface and some brand new analyses. The following features are included in this version: Interface adjustments Data panel, analysis input panel and results panel can be manipulated much…
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In just a few weeks JASP will be releasing version 0.10.0. This may seem like a small step from 0.9.2, especially considering the time we spent on it, but we feel the result is definitely worth it. One of the key changes in 0.10.0 is the way you can interact with the interface. It has become much easier to change…
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The JASP Data Library contains over 50 data sets that can be used to illustrate particular statistical analyses. We have now started to document these data sets systematically. The first version of the book “The JASP Data Library: Version 1” contains a preface and two chapters, describing the “Sleep” data set and Andy Field’s “Fear of Statistics” data set.…
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Bonjour! The JASP team is in Paris this week for the International Convention of Psychological Science (ICPS), which takes place from March 7th until March 9th in Paris. Alongside researchers from psychological science, neuroscience, genetics, sociology, economics, anthropology and linguistics, we are exhibiting JASP in the conference hall at the 3rd floor. If you want to have a chat about…
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