4.2.3 Be sure ggplot_the_model is in your R folder.

4.1.3 Combining Effects and Modeled mean and CI plots – an Effects and response plot.

4.1.2 Pretty good plot component 2: Modeled mean and CI plot.

4.1.1 Pretty good plot component 1: Modeled effects plot.

4.1 Pretty good plots show the model and the data.

3.5.2 Reshaping data – Transpose (turning the columns into rows).

3.2 Use the here function to construct the file path.

3.1 Long data format – the way data should be.

3 Data – Reading, Wrangling, and Writing.

2.11 Let’s play around with an R Markdown file.

2.10 Create and setup an R Markdown document (Rmd).

2.9 Working on a project, in a nutshell.

2.8 Create an R Studio Project for this textbook.

2.4 If you didn’t modify the workspace preferences from the previous section, go back and do it.

2.3 Open R Studio and modify the workspace preference.

2.2 Download and install R and R studio.

2 Getting Started – R Projects and R Markdown.

This, raises the question, what is “an effect”?

1.1 This text is about using linear models to estimate treatment effects and the uncertainty in our estimates.

1 Analyzing experimental data with a linear model.

including mapping between linear models and classical tests.

Why bother with linear models – aren’t t-tests and ANOVA good enough?.

How to use graphpad prism import data