R Intro

Feedback: Email: nacho.bartomeus@gmail.com

Twitter @ibartomeus

• There are lots of online R courses and books
• Here we come to make mistakes
• Here we come to solve problems

• Learn you can do anything with R.
• Know how to google it.
• Lose the respect for R.

• StackOverflow
• How do I ask a good question?
• Google (e.g. error message + r)

R has simple and obvious appeal. Through R, you can sift through complex data sets, manipulate data through sophisticated modeling functions, and create sleek graphics to represent the numbers, in just a few lines of code…R’s greatest asset is the vibrant ecosystem has developed around it: The R community is constantly adding new packages and features to its already rich function sets.

– The 9 Best Languages For Crunching Data

No always. Limitations:

• Learning curve; inconsistent syntax
• Fragmented documentation (?help, vignettes, etc…)
• Quality of packages is heterogeneous.
• Bad with Big Data.

Other tools:

• Julia, Python, C++, bash, …
• Excel? never.

It’s important to make a workflow that you can use time and time again, and even pass on to others in such a way that you don’t have to be there to walk them through it. Source

Your closest collaborator is you 6 months ago, and you don't respond to emails. P. Wilson

Interested: read our paper

Da igual cual sigas, lo importante es tener uno I. Bartomeus

Mine: link

google: Link

• scripts
• consola
• environment
• files/plots

Dir

1-get_data.R
2-process_data.R
3-analyze_data.R
4-make_graphs.R
data/
figures/