Y is for Ys, Y-hats, and Residuals When working with a prediction model, like a linear regression, there are a few Ys you need to concern yourself with: the ys (observed outcome variable), the y-hats (predicted outcome variables based on the equation), and the residuals (y minus y-hat). Today, I'll ...

We’re getting closer to the deadline for registration to our summer school. There are some more places available, though and we are actually keeping the process very “informal”. So that we’ll probably allow people to keep registering (if we have still rooms, which we do for now) until ...

We’re getting closer to the deadline for registration to our summer school. There are some more places available, though and we are actually keeping the process very “informal”. So that we’ll probably allow people to keep re...

We are excited to announce the speakers for this year's EARL London Conference! Every year, we receive an immense number of excellent abstracts and this year was no different - in fact, it's getting harder to decide. We spent a lot of time deliberating and had to make some tough ...

X is for ByToday's post will be rather short, demonstrating a set of functions from the psych package, which allows you to conduct analysis by group. These commands add "By" to the end of existing functions. But first, a word of caution: With great power comes great responsibility. This function ...

Here is another announcement for a post-doctoral position in London (UK) to work with Sarah Filippi. In the Department of Mathematics at Imperial College London. (More details on the site or in this document. Hopefully, the salary is sufficient for staying in London, if not in South Kensington!) The post ...

Why I’m going to eRum this year instead of useR! I have attended the useR! conferences every year now for the past 9 years, and loved it! However, this year I’m saddened that I won’t be able to go. This is because this year the conference will be ...

Introduction RStudio is a powerful IDE that helped me so many times with conveniently debugging large and complex R programs as well as shiny apps, but there is one thing that bugs me about it: there is no easy option or interface in RStudio that lets you customize your theme, ...

It is said that, in R, everything that happens is a function call. So, if we want to improve our ability to make things happen the way we want them to, maybe it’s worth getting very comfortable with how functions work in R. In this exercise set, we’ll ...

Here I am sharing the slides for a talk that my colleague Uwe Friedrichsen and I gave about Deep Learning - a Primer at the JAX conference on Tuesday, April 24th 2018 in Mainz, Germany. Slides can be found here: https://www.slideshare.net/ShirinGlander/deep-learning-a-primer-95197733 Deep Learning is one of ...

This exercise is an extension of the last two previous exercises about numerical modeling. They can be found here and here. Those two previous exercises are representing how the model works in a lumped system. At this time, we will try to bring a space into our model. Make sure ...

Weights in Meta-AnalysisYesterday, I talked about the variance calculation for meta-analysis, which is based on sample size - the exact calculation varies by the type of effect size you're using. It's a good idea to inspect those variance calculations. There are many places where your numbers for the meta-analysis can ...

A quick note for displaying R htmlwidgets in Jupyter notebooks without requiring pandoc – there may be a more native way but this acts as a workaround in the meantime if not: PS and from the other side, using reticulate for Python powered Shiny apps.