Afsnitsforfatter: Danielle J. Navarro and David R. Foxcroft

Analyses

Analyses can be selected from the Analyses ribbon (activate it by clicking the Analyses-tab at the top of the jamovi window). Here, individual analyses can be chosen from their respective category (e.g., T-Tests, ANOVA or Regression). Selecting an analysis will present an options panel for that particular analysis, allowing you to assign different variables to different parts of the analysis, and select different options.

At the same time, the results for the analysis will appear in the right results panel and will update in real-time as you make changes to the options. When you have the analysis set up correctly you can dismiss the analysis options by clicking the arrow to the top right of the options panel. If you wish to return to these options, you can click on the results that were produced. In this way, you can return to any analysis that you (or say, a colleague) created earlier.

If you decide you no longer need a particular analysis, you can remove it with the results context menu. Right-clicking on the analysis results will bring up a menu and by selecting Analysis and then Remove the analysis can be removed.

Copy and Paste

jamovi produces nice tables and attractive plots that are formatted in accordance with the American Psychological Association (APA) Publication Manual. A very useful feature of jamovi is the opportunity to be able to directly copy and paste these, perhaps into a document, or into an email to a colleague. To copy results right click on the object of interest and from the menu select exactly what you want to copy. The menu allows you to choose to copy only the image or the entire analysis. Selecting Copy copies the content to the clipboard and this can be pasted into other programs in the usual way. You can practice this later on when we do some analyses.

Installing add-on modules into jamovi

A really great feature of jamovi is the ability to install add-on modules from the jamovi library. These add-on modules have been developed by the jamovi community, i.e., jamovi users and developers who have created special software add-ons that do other, usually more advanced, analyses that go beyond the capabilities of that come included with jamovi (although these analyses already cover the perhaps 95% of analyses you would run within psychology).

To install add-on modules, just click on the large + in the top right of the jamovi window, select jamovi library and then browse through the various add-on modules that are available. Choose the one(s) you want, and then install them, as in figur 3. It is that easy. The newly installed modules can then be accessed from the Analyses ribbon or by clicking on the the large + and the selecting the analyses you need from the menu that opens.[1] Try it… Useful add-on modules to install include the data files for this book, lsj-data (they can be found in the jamovi file menu (☰; top left-hand corner → Open → Data Library), the Rj editor, and jTransform (added under Data; see Sorting, rearranging, merging, transposing data).

figur 3 Installing add-on modules in jamovi

Syntax mode

jamovi also provides an syntax mode. In this mode jamovi produces equivalent R code for each analysis. To change to syntax mode, select the settings menu (⋮; top right corner in jamovi) and click the Syntax mode checkbox there. You can turn off syntax mode by clicking this a second time.

In syntax mode analyses continue to operate as before but now they produce R syntax. Like all results objects in jamovi, you can right click on these items (including the R syntax) and copy and paste them, for example into an R session. To import jamovi-files within an R session, you can use the function read_omv from the R-package jmvReadWrite (which can be installed using install.packages("jmvReadWrite") in an R-session. The package also contains further functions for handling jamovi-files in R (e.g., write_omv for writing jamovi-files, convert_omv for converting other file formats to a jamovi-file, or merge_cols_omv for adding columns from a second data set while matching the two data sets by an index variable). Help how to use these functions can be obtained by preceding the function name by a ? (e.g., ?jmvReadWrite::read_omv).

But more on analyses later. First, let us take a more detailed look at the spreadsheet view.

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[1]

Especially if you install many modules, your Analyses ribbon may get cluttered. You can avoid that by “hiding” modules that you don’t use that often. In order to do this, go to the large +, and then on Manage installed where you then can Hide modules from the Analyses ribbon. You can still access them via the large +. Once you open it, a menu appears, listing all your modules and giving you access to the analyes within the module if you hover over (then the analyses are shown) or click on it (then you can access the analyes).