More links

R programming language

Lessons and examples to learn Purrr (map functions)

Tidy Bootstrapping

Tidy models

Adding tidiers to broom

Where to get help with an R question?

Comments on data analysis workflow

How should I organize my R research Project?

GNU Make for Data Analysis Workflow Management

The best books on Computer Science for Data Scientists

Constructing a Data Analysis

Reproducibility starts at home



Easy Lecture Slides Made Difficult with Pandoc and Beamer

Tips + Tricks with Beamer for Economists

Building outlines and slides from Markdown lectures with Pandoc

Quick book review: Solving the Procrastination Puzzle by Timothy A. Pychyl

The book is an easy read, but it has enough information to understand better why we procrastinate (leave things for later). This way, you can at least be an informed procrastinator. It is also well written and pleasant to read.

At the end of the day, it all comes down to discipline anyway. There is no secret formula nor a perfect trick. However, reading it can help to focus your energy strategically when it comes to reduce procrastination.

The book can be summarized into the following ideas:

  1. Delaying something does not equal to procrastinate. A delay can be a simple delay, but procrastination is when you actively postpone something.
  2. Procrastination costs. Being aware makes it easier to stop delaying work.
  3. You don’t have to feel good to work. Indeed, you should work even when not feeling like it.
  4. You won’t feel like doing it tomorrow. Period.
  5. All these phrases we say to «defend» our procrastination are rationalizations. Be aware of them and stop repeating them.
  6. Just get started. Now.
  7. Be prepared to deal with distractions, obstacles and setbacks.
  8. Do the hardest things while you still have willpower. Willpower is limited and at some point will end.
  9. Your personality might be leading you into procrastination, but you can adapt.
  10. Stop saying «it will only take a minute». It won’t.

I also appreciated the book being so small. One can read it in one single day and then go back to work which is what we were trying to avoid. Would recommend it. Will recommend it.

More links April 19th

For learning french:

  • Lexilogos – A collection of dictionaries.
  • Enforex – Used for teaching spanish to french speakers. I use it the other way around.
  • Litteratureaudio – Free audiobooks in french.


Computing stuff:

Data analysis:

  • Dplyr tutorial – Quite useful. One of those little things that change the way you work.
  • Rock ‘n poll – Beautiful data visualization.
  • Codeface – Collection of fonts specifically aimed for programming.

Academic writing:

Awesome lists:

Interesting links on science and internet

Here are some interesting links i have in my bookmarks:

  1. How is Research Blogged? A Content Analysis Approach HT @FromTheLabBench
  2. The Science of Science Blogging Literature HT @FromTheLabBench. Interesting for those who try, like me, to start blogging.
  3. Academic Tweets. Via @freakonometrics. I have seen a lot of blog posts like this, but this one is quite interesting for me. First, because it is well structured. And second, because it is written by an economist.
  4. Understanding how Twitter is used to spread scientific messages.  Interesting thorough analysis of Social media and science.
  5. Academic blogging. A personal experience. HT @freakonometrics.
  6. The role of blogging in academia. By the same author.