R is one of the leading statistical programming languages used by statisticians and data scientists.

 

Recommended packages

Getting data into R:

• readxl: from Excel
• foreign: from other statistical software (SAS, Minitab, SPSS,…)

Data manipulation:

• stringr: for strings
• lubridate: for dates and times
• tidyr: to change the structure of data sets to make them tidy.
• sqldf: to manipulate data frames using SQL statements.
• dplyr: to make all kind of selections and transformations in data frames. This package will save you hours of coding.
  • • Check these videos from the author of dplyr (Hadley Wickham) so you can see the power of this package:dplyr tutorial (Part 1): dplyr tutorial (Part 2):

  Data Visualization:

  • ggplot2: the most popular data visualization package.
    • • Check these videos from Roger Peng to see an introduction to ggplot2:ggplot2 tutorial (Part 1) ggplot2 tutorial (Part 2)

     

   

  Code snippets and cheatsheets

  The following resources contain code snippets ranging from basic R to statistical analysis and data visualization:

  • Quick-R
  • RStudio ggplot2 cheatsheet: English Version – Spanish Version
  • RStudio dplyr & tidyr cheatsheet: English Version – Spanish Version

    I will keep adding resources to this page, so keep in touch!