Part II Explains More Complex Wide to Long With base reshape In part I of this base reshape tutorial we went over the basics of reshaping data with reshape. We learned two rules that help us to be more efficient … Continue reading →
Posts Tagged ‘ data set ’
reshape (from base) Explained: Part II
Function to Generate a Random Data Set
Often I find myself needing data sets to try functions and code out on or for teaching purposes. I have a few stand-bys such as the mtcars and CO2 data sets in the base packages of R but sometimes I … Continue reading →
Empirical software engineering is five years old
Science and engineering are built on theoretical models that are tested against measurements of ‘reality’. Until around 10 years ago there was very little software engineering ‘reality’ publicly available; companies rarely made source available and were generally unforthcoming about any bugs that had been discovered. What happened around 10 years ago was the creation of
For fun: Correlation of US State with the number of clicks on online banners
“Chitika research” published today a fun small dataset (you can download it from here) in a post titled “The Educated are Harder to Advertise To”. In this post I had three goals in mind: Suggesting another plot instead of the one used in the original post. Emphasizing the “Correlation does not imply causation” rule. Inviting other R lovers (as myself) to find fun...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
