R Course: Lesson 3

Following up linear regression, in this lesson we’ll learn the math of logistic regression, and run a logistic regression in R. As always, we’ll expand our knowledge of dplyr and ggplot2.

For full materials, see the course website for Lesson 3.

Here you can revisit Lesson 0, Lesson 1 and Lesson 2.

Speaking my Microagression Story (even though I’m almost WEIRD)

I started thinking about writing this blog entry when I first read about the speakyourstory initiative in this insightful Nature column a few months ago. This initiative raises awareness of microagression in the form of subtle sexism in the world of research. Subtle sexism is often less obvious both to its initiators and recipients than overt sexism, but can nevertheless be quite harmful – or I should say could be harmful, since we know amazingly little about its real effects. Microagressive comments are, of course, not restricted to sexism, but to an abundance of topics people can be – often unintentionally – biased about (read more here or here).

R Course: Lesson 2

Guest post by Page Piccinini

With some basics under our belt from Lesson 1, in this lesson we’ll continue working with dplyr and ggplot2, while also learning about the math behind linear regression and how to implement it in R. Plus you get to finish with a report about how the popularity of your name changes over time.

For full materials, see the course website for Lesson 2.

Here you can revisit Lesson 0 and Lesson 1.

Summer is over, and that’s ok

Dear reader,

You might have noticed that this blog was very quiet during the summer months. That is, in part, thanks to the fact that we actually went on holidays! (Plus, while preparing for those vacations there might have been a finish-everything-madness, but we admit to nothing).  

Why is this newsworthy?