• R is a language and environment for statistical computing and graphics
  
• R provides a wide variety of statistical and graphical techniques, and is highly extensible(linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …)
  
• One of R’s strengths is the ease with which well-designed publication-quality plots can be produced
  

• You have the freedom to run the program as you wish, for any purpose (freedom 0).

• You have the freedom to study how the program works, and change it so it does your computing as you wish (freedom 1).

• You have the freedom to redistribute copies so you can help your neighbor (freedom 2).

• You have the freedom to distribute copies of your modified versions to others (freedom 3).

• R foundation

• R Mailing Lists

• Packages

• Go to www.r-project.org
• Downloads: CRAN
• Set your Mirror: Anywhere in Spain is fine.
• Select 'Download R for Windows'.
• Select base.
• Select R 3.2.3 for Windows
  • The others are if you are a developer and wish to change the source code.

Adapted from 'R for Stata users' by Muenchen and Hilbe

• Comprehensible repertoire of statistical techniques
• R is directly accessible from many statistics packages like SAS, SPSS and Stata.
• Every aspect of R is open for anyone to modify in any way they like.
• R also offers the very flexible and powerful Grammar of Graphics approach. Developers have even gone so far as replacing R’s core graphical system.
• R is free. This helps to attract developers and is a major reason that there are so many add-on packages for it.

This is among the most recognized graphs in R!

Cosas que faltan:

• Graficos ggvis pero con su código arriba(2 o 3)
• Graficos con ggplot mas elaborados(2 o 3)
• Gráficos ggvis interactivos con su codigo
• Algunos gráficos con Plotly
• Algunos gráficos con Shiny
• Algunos gráficos con Rcharts
• Some maps with their code EASY ones
• Some maps with google maps