## Introducing solid – a highly reliable, less frequent release channel

### tl;dr

• jamovi solid are new, highly reliable jamovi releases, which are updated less frequently, and with a greater emphasis on stability over new features.
• jamovi current are frequently updated releases, and contain the very latest features developed by the jamovi community
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## Rj Editor – Analyse your data with R in jamovi

### tl;dr

• Rj Editor lets you analyse data in jamovi with R, and make use of your favourite R packages from within the jamovi statistical spreadsheet
• jmvconnect makes it easy to access jamovi data sets from R
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## Statkat – find the right statistical technique for your data and research question

### tl;dr

Finding a statistical technique that is suitable for your data and research question can be challenging. The Statkat module helps you to find a statistical method that suits your needs!

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## Introducing filters in jamovi

### tl;dr

jamovi 0.9 and newer allow you to filter rows and columns out of your analyses. This is useful for excluding outliers, or limiting the scope of your analyses. jamovi filters are built on top of the jamovi ‘compute variables’ system, allowing great flexibility in filtering.

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## jmv – one R package (not just) for the social sciences

### tl;dr

• many analyses in the social sciences require many R packages
• jmv makes these common analyses available from one R package
• jmv can be used from jamovi, a graphical statistical spreadsheet, making it super-accessible
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