Jamovi
Statistical analysis package based on R
From Wikipedia, the free encyclopedia
jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project.[2]
| jamovi | |
|---|---|
| |
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| Stable release | |
| Written in | C++, R, JavaScript, Python |
| Operating system | Microsoft Windows, macOS, Linux, ChromeOS |
| Available in | Catalan, Danish, German, English, Spanish, French, Italian, Japanese, Kazakh, Nynorsk, Bokmål, Polish, Portuguese, Russian, Swedish, Ukrainian, Simplified Chinese, Classical Chinese, Hebrew |
| Type | Statistics |
| License | GNU Affero General Public License and GNU General Public License |
| Website | www |
| Repository | Jamovi Github page |
Software
jamovi is an open source graphical user interface for the R programming language.[3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference.[4][5] It also can be used for linear regression,[6] mixed models and Bayesian models.[7]
Data is entered into a spreadsheet interface[8] that can be imported into jamovi. If data are changed, all calculations and analyses affected by the change are automatically updated.[6] The software includes a multinomial test to determine whether observed data differs from researchers' predictions.[9]
Extendibility
jamovi comes with a basic library of statistical and graphical procedures. In addition, users can install modules from a library of community created open source add-on modules to extend the package's capabilities.[10][11] These modules are written in the R programming language and make use of the jmv[12] and jmvtools[13] libraries to create the interface and display code. Numerous modules exist and can be accessed in the curated library within jamovi. Over 40 modules[14] have been created by the jamovi community and extend the functionality of the program. These additional analyses include agreement and reliability analyses[15] mediation models,[16][17] meta-analysis,[14] power analysis,[18] psychometrics,[19] structural equation models,[20] survival analysis,[21] and likelihood/evidential analyses.[22][23]
Documentation
A detailed user manual is available for jamovi. Third party learning resources are also available including free books and video tutorials in multiple languages including Chinese, Hindi, Spanish, Korean, and Malayalam [24]
See also
