Dplyr

Measuring father involvement across Europe with Bayesian hierarchical models

Apr 4, 2018

In ** breaking ** news surprising no one except sociologists: European countries are not all that dissimilar! Forgive me for starting with the conclusion. It took me four years to actually reach one, so I’m a little attached to it. For this week I will be showing some code from the first chapter of my dissertation on cross-national variation in the association between mother’s work hours and father’s share of childcare.

A/B testing in R

Apr 4, 2018

Experimental data Today I want to talk about two-sample hypothesis testing, or A/B testing in data science parlance. This topic has been on my mind a lot as of late because I’m planning on leaving academia for data science, and that means I may also be transitioning from analyzing survey data to running experiments on unstructured, “big” data. Because academia and business have different goals and resources available to them, the methods they use are also different, even when approaching a similar problem.

Aggregating across groups: data.table, aggregate, dplyr

Mar 3, 2018

This week I’m not doing a data analysis project so much as a data cleaning project. One of the most common problems I come across in data cleaning is how to get summary statistics for various groups in the data. And it’s also one of the most annoying problems, because I invariably forget how to do it, and end up having to go back to old code to copy and paste.

A beautiful day in the neighborhood: Google location history

Mar 3, 2018

Since moving to San Francisco at the end of February, I have been driving and walking around town, trying to get to know my new city. And even though I’ve only been here a few weeks, I already feel affinity1 for my own neighborhood. Which is good, because I’m also too lazy to leave it. I also learned recently that you can download your location history via google. In the spirit of discovering my new city and possibly also discovering something about my (homebody) self, today I am going to make a map of where I have been since moving here three weeks ago.

Bulgarian fathers and childcare

Mar 3, 2018

Last week was crazy because we moved from the Netherlands to San Francisco, and jetlag and babies don’t go well together. When your child wakes up at 11:30pm and doesn’t fall back asleep until 2am is exactly when you realize how difficult it must be to be a single parent. Father involvement And of course, it’s not only single parents who have full responsibility of staying up with the baby when she’s not sleeping.

R-ladies Rotterdam: Creating a website with blogdown

Feb 2, 2018

Blogdown This week was the very first meeting of the R-Ladies Rotterdam chapter. Ingrid Szilagyi was the driving force behind starting an R-ladies chapter in the Netherlands, and I had the pleasure of working with her, the Py, R, and all things tech-Lady Elena He, and the uber-experienced Paloma Rojas Saunero, formerly a Buenos Aires R-Lady. At the meetup Ingrid gave an introduction to R-ladies, Elrozy Randrinopoulou gave one of the best intro to R talks I’ve ever seen, and I talked about using blogdown to harness the power of Rmarkdown for publishing to the web.

Is there a tradeoff between gender diversity and job satisfaction?

Feb 2, 2018

Two weeks ago I claimed that women report higher job satisfaction when they work in countries where tech is more male-dominated. And then instead of backing up my claim last week, I got sidetracked by questions of sample size and statistical power. In a previous blog post I introduced the Kaggle survey on women in tech and I did some basic data cleaning for that survey. To save time and get to the point, I now pick up where I left off.

Power calculations and sample size

Feb 2, 2018

Last week I ended the blogpost saying I would share results from the Kaggle survey this week, but actually there’s something else I want to talk about first Sample size In social science research we are mostly working with data collected by someone else. That’s because the scale of the survey data we need to be representative of a country or multiple countries is too big and too expensive for one person to collect by themselves.

Embedding a shiny app in blogdown

Feb 2, 2018

This week I am trying to embed a shiny app on a static website using blogdown. In a couple of weeks I get to present a short introduction of blogdown at the first ever R-ladies meetup in the Netherlands following a presentation on Rmarkdown and Shiny1. It will be a nice bonus if I can show how to embed shiny apps in blogdown! Kaggle tech survey For this demonstration I’m going to use data from the freely available Kaggle survey on data science and machine learning.

Predicting survival on the Titanic: Part 2/2 Random Forest

Jan 1, 2018

Just as the original Titanic VHS was published in two video cassettes, this Titanic analysis is also being published in two posts. In this post–part 2–I’m going to be exploring random forests for the first time, and I will compare it to the outcome of the logistic regression I did last time. Random forest vs. Logistic regression Last time I explained how logistic regression uses a link function transforms non-linear relationships into linear ones.

Aggregating across groups: data.table, aggregate, dplyr

Brett Ory

Measuring father involvement across Europe with Bayesian hierarchical models

A/B testing in R

Aggregating across groups: data.table, aggregate, dplyr

A beautiful day in the neighborhood: Google location history

Bulgarian fathers and childcare

R-ladies Rotterdam: Creating a website with blogdown

Is there a tradeoff between gender diversity and job satisfaction?

Power calculations and sample size

Embedding a shiny app in blogdown

Predicting survival on the Titanic: Part 2/2 Random Forest