About Me Blog
Dealing with heteroskedasticity; regression with robust standard errors using R Forecasting my weight with R Getting data from pdfs using the pdftools package Imputing missing values in parallel using {furrr} Missing data imputation and instrumental variables regression: the tidy approach {pmice}, an experimental package for missing data imputation in parallel using {mice} and {furrr} Building formulae Functional peace of mind Get basic summary statistics for all the variables in a data frame Getting {sparklyr}, {h2o}, {rsparkling} to work together and some fun with bash Importing 30GB of data into R with sparklyr Introducing brotools It's lists all the way down It's lists all the way down, part 2: We need to go deeper Keep trying that api call with purrr::possibly() Lesser known dplyr 0.7* tricks Lesser known dplyr tricks Lesser known purrr tricks Make ggplot2 purrr Mapping a list of functions to a list of datasets with a list of columns as arguments Predicting job search by training a random forest on an unbalanced dataset Teaching the tidyverse to beginners Why I find tidyeval useful tidyr::spread() and dplyr::rename_at() in action Easy peasy STATA-like marginal effects with R Functional programming and unit testing for data munging with R available on Leanpub How to use jailbreakr My free book has a cover! Work on lists of datasets instead of individual datasets by using functional programming Method of Simulated Moments with R New website! Nonlinear Gmm with R - Example with a logistic regression Simulated Maximum Likelihood with R Bootstrapping standard errors for difference-in-differences estimation with R Careful with tryCatch Data frame columns as arguments to dplyr functions Export R output to a file I've started writing a 'book': Functional programming and unit testing for data munging with R Introduction to programming econometrics with R Merge a list of datasets together Object Oriented Programming with R: An example with a Cournot duopoly R, R with Atlas, R with OpenBLAS and Revolution R Open: which is fastest? Read a lot of datasets at once with R Unit testing with R Update to Introduction to programming econometrics with R Using R as a Computer Algebra System with Ryacas

Who am I?

My name is Bruno Rodrigues and I am a PhD candidate at the Bureau d’économie Théorique et Appliquée at the University of Strasbourg. My thesis advisor is Bertrand Kœbel and my co-advisor is François Laisney.

I started working at STATEC, which is the national statistical office of the Grand-Duchy of Luxembourg in July 2016. I’m part of the research division and my main mission is assisting the researchers with data issues.

My hobbies are boxing, lifting weights, cycling, cooking and reading. I try doing this things while listening to FIP or Nightwave Plaza. I also enjoy learning about the R programming language and sharing my knowledge. That’s why I made this blog and why I am currently writing a book about functional programming, unit testing and package development with R. You can read it for free here and you can buy a digital copy at leanpub.