Today is a monumental occasion as we’d like to announce the immediate availability of jamovi 1.0
We’d like to thank the diverse community which has made this possible: https://blog.jamovi.org/2019/05/24/jamovi-one-zero.html
news
jamovi 0.9.6 is now available!
This release adds templates, multi-file import, undo-redo, and many more features. Download the latest version from our download page and take it for a spin.
Because different users have different needs we are now introducing solid releases. The solid release channel will be updated less frequently with an emphasis on high reliability, whereas the current release channel will maintain our current focus of rapid development and expanding new features. Both versions are now available from the download page.
jamovi 0.9.1.9 is now available!
The new version brings a number of new features:
- Ordinal logistic regression
- Q-Q plots and normality tests in descriptives
- Plot color palettes (including a print-ready gray-scale palette)
- Screenshot tool
The color palette option allows you to easily switch between a number of carefully selected color palettes for your plots, and for those creating teaching materials, the new screenshot tool streamlines the screenshot process.
jamovi 0.9 is now available!
The addition of data filters makes it super easy to run analyses on subsets. Check out our blog post on filters for a more in depth look.
jamovi 0.8.6 is now available!
This new version adds log-linear analysis, and supports easy installation on all modern Linux systems through flathub.
jamovi 0.8.5 is now available!
This new version allows you to easily import SPSS, SAS, and Stata files directly into jamovi. Transitioning to jamovi has never been easier.
On top of that we added the multinomial logistic regression analyses and did a complete overhaul of the linear regression that adds easy model comparison, estimated marginal means, and more.
jamovi 0.8.2 is now available!
With the addition of binomial logistic regression it becomes super easy to build and compare complex models, and interpret the results using estimated marginal means plots and model predictions.
Two new modules are made available in the jamovi library. The first one, GAMLj,
developed by Marcello Gallucci, is a general
framework for general, mixed, and generalized linear models and allows you to run
a large number of useful analyses. Make sure to check out the excellent
documentation, which includes elaborate
examples for a number of analyses such as
multinomial logistic regression
and moderated regression.
The second module, MAJOR, developed by Kyle Hamilton,
allows you to do a meta-analysis in jamovi using different types of input (e.g.,
effect sizes, correlations coefficients). MAJOR and jamovi work really well together;
new studies can easily be added in the spreadsheet and the results will automatically update,
making it easy to always keep your meta-analyses up-to-date.
Both modules can be downloaded straight from the jamovi library and any comments or
suggestions can be left on their respective github pages:
https://github.com/mcfanda/gamlj for GAMLj, and
https://github.com/kylehamilton/MAJOR for MAJOR.
Also check out the other modules available in the jamovi library
> CHECK OUT WHICH MODULES ARE AVAILABLE IN THE JAMOVI LIBRARY
jamovi 0.8 is now available!
Want to calculate sum scores, log transformations, simulate data, and more? With
the new computed variables this is now all possible in jamovi. Additionally you
can now easily change factor labels in the variable view.
We are happy to introduce the jamovi blog. On this blog we will post about various topics, such as how you can use jamovi in your teaching, the development of jamovi modules, and the interplay between jamovi and R.
You can already check out our first blog post: jmv - one R package (not just) for the social sciences.
Jonathon Love, one of our core developers, gave a presentation about jamovi at the annual useR conference – the main meeting of the international R user and developer community. All talks were recorded and generously made available by Microsoft. Check out the talk for a quick introduction to jamovi and its core features.
jamovi 0.7.3 is now available!
We added five new analyses to jamovi and are getting closer and closer to being a solid SPSS replacement in undergraduate social science programs. The analyses we added are:
- ANCOVA
- MANCOVA
- Linear Regression
- Principal Component Analysis (PCA)
- Exploratory Factor Analysis (EFA)
In case you missed it, in the previous release we added copy/paste functionality that allows you to copy data from a spreadsheet editor and paste it directly into jamovi.
Interested in why we started jamovi, what our design philosophy is, and what our plans for the future are? JEPS just published an interview with Jonathon Love, one of the core developers of jamovi, that answers these questions and more. Did the interview still leave some of your questions unanswered? Ask away on our forum, twitter, or facebook!
Ever wanted to test whether an effect does not exist but couldn’t find an
easy way to do it? Daniël Lakens has published a jamovi module that allows you
to do just that. His module, named TOSTER, allows you to test equivalence for
t-tests and correlations. TOSTER can be installed directly from the jamovi
store.
Read all about TOSTER in Daniël’s blog post.
Also, make sure to check out the rest of his blog for more interesting posts
about statistics, methods, and open science.