## Transforming and recoding variables in jamovi

### tl;dr

Computed variables have been available in jamovi for a while now. Although great for a lot of operations (e.g., calculating sum scores, generating data, etc.), they can be a bit tedious to use when you want to recode or transform multiple variables (e.g., when reverse-scoring multiple responses in a survey data set). Today we’re introducing ‘Transformed variables’, allowing you to easily recode existing variables and apply transforms across many variables at once.

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## Learn jamovi with datalab.cc’s free video course

### tl;dr

• introduces a free online introductory course on jamovi that includes 52 videos – over 4.5 hours of instruction – that cover every aspect of jamovi’s base installation, from download and setup to data exploration and visualization to scale analysis and predictive modeling
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## 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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