Welcome to the jamovi user-guide. This contains everything you need to know about getting up and running for jamovi. Note that there are also video tutorials available from , and the learning statistics with jamovi textbook for those who prefer those formats. Installation on windows is quite straight-forward, and should be familiar to anyone who has installed software on Windows before.

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Welcome to the jamovi user-guide. This contains everything you need to know about getting up and running for jamovi. Note that there are also video tutorials available from , and the learning statistics with jamovi textbook for those who prefer those formats. Installation on windows is quite straight-forward, and should be familiar to anyone who has installed software on Windows before.

Download the latest version from the download page , and double-click the icon. In this case, you can download our. To use this, simply download, unzip to a location on the computer, and naviagate to the bin folder. Double-clicking jamovi. To install it, download the. After this, jamovi will appear in your applications, and can be started like any other installed application.

You can update your version of jamovi from the app menu the three dots at the top right of the window. Note : Some Chromebooks experience a blank screen issue when starting up jamovi. If you encounter this, there are instructions on how to fix this a little further down. On some linux machines, the flatpak font cache is not up-to-date, resulting in plots in jamovi not displaying text correctly.

To remedy this, you can run the following command at the terminal:. Some Chromebooks experience a blank screen when starting up jamovi. After restarting your Chromebook the issue will be fixed. Special thanks to mulderc. When first starting jamovi, you will be presented with a user interface which looks something like this. To the left is the spreadsheet view, and to the right is where the results of statistical tests appear. Down the middle is a bar separating these two regions, and this can be dragged to the left or the right to change their sizes.

It is possible to simply begin typing values into the jamovi spreadsheet as you would any other spreadsheet software. Additionally, there are a number of example data sets available in jamovi. If jamovi does not open a CSV file correctly, do file an issue bug report in our GitHub issue tracker.

We are keen to make our importer as robust as possible. Analyses can be selected from the analyses ribbon or menu along the top. When you have the analysis set up correctly, you can dismiss the analysis options by clicking the arrow to the top right of the optional 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.

Data variables can be one three data types:. Nominal and Ordinal are, predictably, for nominal and ordinal variables. The ID measure type is, unlike the others, unique to jamovi. For example, a persons name, or a participant ID.

The advantage of IDs, is that jamovi does not need to maintain a list of levels internally, which can improve performance when interacting with very large data sets. When starting with a blank spreadsheet and typing values in, the data and measure types will change automatically depending on the data you enter. This is a good way to get a feel for which variable types go with which sorts of data.

Similarly, when opening a data file, jamovi will infer the variable type from the data in each column. In both cases, this automatic approach may not be correct, and it may be necessary to manually specify the data and measure type with the variable editor. The variable editor allows you to change the name of the variable, and for data variables the data type, the measure type, the order of the levels, and the label displayed for each level. The variable editor can be dismissed by clicking the close arrow, or by pressing F3 again.

Computed Variables are those which take their value by performing a computation on other Variables. Computed Variables can be used for a range of purposes, including log transforms, z-scores, sum-scores, negative scoring and means. This will produce a formula box where you can specify the formula. The usual arithmetic operators are available.

Some examples of formulas are:. In order, these are the sum of A and B, a log base 10 transform of len , the mean of A and B , and the z-score of dose twice. A number of functions appear in pairs, one prefixed with a V and the other not. V functions perform their calculation on a variable as a whole , where as non- V functions perform their calculation row by row. In the following example:. Transformed and recoded variables are also available.

See this blog post for details. In some cases you just want to exclude extreme scores, for example those that score more than 3 standard deviations from the mean. More details about filters are covered in this blog post. Once a data set is set up with filters, computed variables, transforms and analyses, sometimes you may want to update the data. By importing into an existing data set you can re-run your analyses without having to re-perform all of your data cleaning and analysis steps making your jamovi files behave a bit like scripts.

For a video introduction to import and templates in jamovi, see this blog post. When you import a file into an existing data set, the following operations are performed.

If no new column matches the column names in the existing data set, then those columns are left blank. It is also possible to import multiple files at once. This can be useful when you are combining multiple data sets, for example, where each file represents a participant. The process is the same as the single-file import detailed above, except that you select multiple files when performing the import.

When importing multiple files like this, they are combined vertically with the rows of the second file appearing below the first, the rows of the third file appearing below the second, and so on.

An additional column called source is created detailing which file each row has come from. Templates in jamovi are special data sets that are analagous to script files in more traditional statistical environments.

They are a way to specify data types, computations, filters, transforms, and analyses in advance. Once the data becomes available, it can be imported into the template, and the template will update accordingly. To use the template, import a new data set or data sets using the file import described above. The data will update, followed by the filters, computed variables, and finally the analysis results. It is often useful to be able to copy and paste these, perhaps into a Word 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, say only the image, or the entire analysis. Selecting copy, copies the content to the clipboard, and can be pasted into the other program in the usual way.

It is possible to leave syntax mode by clicking this a second time. 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.

At present, the provided R syntax does not include the data import step, and this must be performed manually. There are many resources explaining how to import data into R, and we recommend you take a look at these Most analyses in jamovi require data as a data frame.

Another R feature that may be of interest is the Rj module , which allows you to use R code to analyse data directly in jamovi. User Guide Welcome to the jamovi user-guide.


Installation Guide

The source code package needs around MB uncompressed. The resulting binaries may need between 20 MB and MB depending on your platform. During a full compilation you may need temporarily up to MB including the source code. However, installation is slightly different on each operating system.


User Guide

Nella fase di feature freeze che precede una versione finale vedere Agenda dei rilasci , questi pacchetti sono detti pre-release, che invitiamo vivamente gli utenti a testare. I file scaricati si trovano in una directory locale per le installazioni future. I passaggi sono:. Nella fase di feature freeze, funge anche da release candidate. Installa solo QGIS e altri componenti che ti potrebbero servire. Saranno incluse automaticamente le dipendenze.

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