4.2.8 How to combine the response and effects plots.4.2.6 How to generate a Response Plot with a grid of treatments using ggplot2.4.2.5 How to generate a Response Plot using ggpubr.4.2.4 How to use the Plot the Model functions.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?.

For mac download Draw.io 21.7.5