3x3 FActorial Design with Repeated Measures

[bragks]

Hi! Could this be what you’re looking for?

On a side note, it’ll be easier for people to understand your question if you provide an example of your data and/or code. Check out the Reprex package, usually I end up answering my own questions while creating a reprex...

If you don’t want to share your data you could simulate a similar dataset. I’ve turned to this tutorial on several occasions.

You could also check out:

FAQ: What's a reproducible example (`reprex`) and how do I create one?

Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it and feel your pain. Then, hopefully, folks can more easily provide a solution. What's in a Reproducible Example? Parts of a reproducible example: background information - Describe what you are trying to do. What have you already done? complete set up - include any library() calls and data to reproduce your issue. data for a reprex: Here's a discussion on setting up data for a reprex make it run - include the minimal code required to reproduce your error on the data…

Coming up with Example/Dummy Datasets for a REPREX

Coming up with example and dummy data is an important parts of of a reprex, and not covered well in the "FAQ: What's a reproducible example (reprex) and how do I do one?" and "FAQ: Tips for writing R-related questions" guides. The goal of this topic is to recap a private discussion sustainers had on this, and draft a new section on creating dummy datasets for reprex's Borrowed heavily from Stack Overflow's excellent "How to make a great R reproducible example" Best Practices: how to prepare your own data for use in a `reprex` if you can’t, or don’t know how to reproduce a problem with a built-in dataset? Producing a minimal dataset Built in datasets You can use one of built-in dataset…