r-intermediate

Course outline

• 09:30 - 10:00

  • Rstudio introduction
  • functions and variables
  • data frames
  • knitr

• 10:00 - 11:30

  • tidy data concept
  • dplyr introduction
  • select
  • mutate
  • useful string and date operations

• 11:30 - 12:30

  • piping
  • arrange
  • filter

• 12:30 - 13:30 LUNCH

• 13:30 - 14:30

  • summarising / grouping data
  • joining / combining data

• 14:30 - end

  • ggplot2

NOTES

• Use Florence Nightingale dataset from HistData package?
• Or an example from UsingR
• Tutorials on dplyr
  • https://www.udacity.com/wiki/ud651
  • http://stat545-ubc.github.io/index.html
  • http://kbroman.org/dataorg/

A great tutorial on ggplot2 http://tutorials.iq.harvard.edu/R/Rgraphics/Rgraphics.html

A dplyr tutorial http://www.r-bloggers.com/complete-dplyr-tutorial-for-data-analytics-and-data-manipulation-in-r/