Learn to Manage Data at useR! 2014 or Online April 25

Before you can analyze data, it must be in the right form. Join me on April 25th for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through hands-on examples of R’s popular add-on packages such as plyr, reshape, stringr, lubridate and sqldf. I’ll also be presenting a 3-hour version at the UseR! 2014 conference. Here’s a list of the topics covered:

  1. Transformation basics
  2. Conditional transformations
  3. Summarization of columns and rows
  4. Summarization by group
  5. Analysis by group
  6. Sorting data
  7. Selecting first or last observation per group
  8. Miscellaneous variable tools (rename, keep, drop)
  9. Stacking data frames
  10. Finding and removing duplicate observations
  11. Merging data frames
  12. Reshaping data frames
  13. Character string manipulations
  14. Date / time manipulations (not in shorter useR! presentation)
  15. Using SQL within R (not in shorter useR! presentation)

R--113Many examples come from my books, R for SAS and SPSS Users and R for Stata Users. That makes it easy to review what we did later with full explanations, or to learn more about a particular subject by extending an example which you have already seen.

At the end of the workshop, you will receive a set of practice exercises for you to do on your own time, as well as solutions to the problems. I will be available via email at any time in the future to address these problems or any other topics in my workshops or books. I hope to see you there!

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About Bob Muenchen

I help researchers analyze their data, teach workshops on data analysis using R, and write books about research computing.
This entry was posted in Analytics, Data Mangement, R, Statistics. Bookmark the permalink.

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