## 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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## Computed variables in jamovi

### tl;dr

Scientific data often requires a number of transformations before analysis; sum scores, log transformations, z-transformations, centering, etc. For those who’ve missed it, jamovi provides a very sexy ‘compute variables’ facility.

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