Treating your data: The old school vs tidyverse modern tools

Useful comparisons here.

Computing by groups within data.frames with dplyr and broom

This is quite useful.

Introduction to Hadley's packages

This online slide provides good introduction of various R packages developed by Hadley Wickham.

spread doesn't work with dplyr::grouped_df

This bug caused several hours of my time. Hope it can get fixed soon. Meanwhile adding an extra step by changing it to a data.frame works fine.

Shiny, ggvis, and rmarkdown

I have been using rmarkdown in my research and really enjoyed it. I also tried to get my head around shiny and ggvis. I can understand what they do but, compared to rmarkdown, dplyr, and ggplot2, they seemed less relevant. Yesterday I went to the R-Day of the Strata+Hadoop meeting and the presentations made by Winston Chang and Garrett Grolemund really changed my opinion. And the timing is perfect: now I have strong incentive to incorporate both technologies into my Advanced Analytics course in the Spring of 2015.

According to Hadley Wichham, the author of dplyr and a number of other excellent packages, the next version of dplyr will have a function for recoding.

R package to convert statistical analysis objects to tidy data frames

This post introduces the broom package, which can tidy up R output in the same dplyr and tidyr package do to R dataframes.

Giving R the strengths of Stata

Useful information.