I just added the slides to the Dropbox folder: https://www.dropbox.com/sh/kn6fwmef5e9np8l/AAAv2KMlapwAs6Yd30UbYV9ea?dl=0

stats %>%
beers(as = "homebrew", ignore.low.stock = TRUE) %>%
frustration %>%
learning %>%
filter(success == TRUE)

If you want to go further, see these links:

dplyr:

http://cran.r-project.org/web/packages/dplyr/vignettes/introduction.html https://github.com/hadley/dplyr

pipes from the magrittr package:

http://cran.r-project.org/web/packages/magrittr/vignettes/magrittr.html https://github.com/smbache/magrittr

Also, if you’ve ever wanted to get really deep into R programming, there’s no better source than Hadley’s new book. The digital version will always be available at: http://adv-r.had.co.nz/

And the physical version of “Advanced R” is available for pre-order now: http://www.amazon.ca/dp/1466586966/ref=cm_sw_su_dp?tag=devtools-20