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)

Many 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!