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.

jamovi module development workshop – 31st October 2018

tl;dr

• Come join us for our first jamovi module development workshop at Macquarie University, Sydney Australia. This workshop will take place on October 31st, 2018 and is free of charge. Please register over here if you want to participate.

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

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

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