Live briefing
Everything about Easystats
Software package for the R language
The easystats collection of open source R packages was created in 2019 and primarily includes tools dedicated to the post-processing of statistical models. As of May 2022, the 10 packages composing the easystats ecosystem have been downloaded more than 8 million times, and have been used in more than 1000 scientific publications. The ecosystem is the topic of several statistical courses, video tutorials and books. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: EasystatsA 5-minute orientation
- Pick up a classic book: EasyStatThe most-reprinted book on the subject
- Read the landmark paper: Check your outliers! An introduction to identifying statistical outliers in R with easystatsCited 46 times
- Go sideways: Probability of directionA closely related topic
- Go sideways: JamoviA closely related topic
🏆 Landmark papers (most cited)
📚 Books worth reading
- 📕EasyStatLawence Lapin · 1990
- 📕Easystat Manual - StatisticsMason003097822x, Mason · 1998
- 📕EasystatBryan Sayer, Morris Hamburg · 1988
- 📕EasystatMorris Hamburg, Peg Young · 1994
- 📕Easystat Gde-Statistics F/Modn Bus DecLapin0155011596, Lapino · 1998
Statistics for Business and Economics With EasystatDavid Ray Anderson, Dennis J. Sweeney · 2002- 📕Statistician's Toolbox / Statistics: An Introduction 3rd & EasystatMason Lind Marchal · 1991
Essentials of Modern Business Statistics with Microsoft Excel (with CD-ROM and EasyStat Digital Tutor for Microsoft Excel)David Ray Anderson, Dennis J. Sweeney · 2004
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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