Note, at the time of this writing using the packages ggplot2 and ggmap from CRAN will result in an error. To avoid the error be sure to install both packages from GitHub with the package devtools and restart R if the problem persists. devtools::install_github("dkahle/ggmap") devtools::install_... [Read more...]

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Note, at the time of this writing using the packages ggplot2 and ggmap from CRAN will result in an error. To avoid the error be sure to install both packages from GitHub with the package devtools and restart R if the problem persists. devtools::install_github("dkahle/ggmap") devtools::install_... [Read more...]

In today’s lesson we’ll continue to learn about linear mixed effects models (LMEM), which give us the power to account for multiple types of effects in a single model. This is Part 2 of a two part lesson. I’ll be taking for granted that you’ve completed Lesson 6, ... [Read more...]

In today’s lesson we’ll learn about linear mixed effects models (LMEM), which give us the power to account for multiple types of effects in a single model. This is Part 1 of a two part lesson. I’ll be taking for granted some of the set-up steps from Lesson 1, ... [Read more...]

In today’s lesson we’ll take care of the baseline issue we had in the last lesson when we have a linear model with an interaction. To do that we’ll be learning about analysis of variance or ANOVA. We’ll also be going over how to make barplots ... [Read more...]

Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also continue to use some old and new dplyr calls, as well as another parameter for our ggplot2 figure. I’ll be taking for granted some of the set-up steps ... [Read more...]

Today we’ll be moving from linear regression to logistic regression. This lesson also introduces a lot of new dplyr verbs for data cleaning and summarizing that we haven’t used before. Once again, I’ll be taking for granted some of the set-up steps from Lesson 1, so if you ... [Read more...]

This is our first lesson where we actually learn and use a new statistic in R. For today’s lesson we’ll be focusing on linear regression. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done that yet be sure ... [Read more...]

Before starting this lesson you should have completed all of the steps in Lesson 0. If you have not, go back and do the lesson now. By the end of this lesson you will be able to: Make an R Project. Commit to Git. Push to Bitbucket. Read in and manipulate ... [Read more...]

The pre-first lesson focuses on setting you up with RStudio and Git. As a reminder, there are some steps you should have done before starting this lesson: Install R. If you already have R installed, be sure it is the newest version. Install RStudio. Make sure that (e.g. LaTeX) ... [Read more...]

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