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 →
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 →
A frequent question for people first learning statistical procedures is how to normalize data. Other terms for normalizing may include standardizing, scaling and centering (though the last two terms may mean something other than the first two terms). In my … Continue reading →
This Post Will Explain the Basics of Wide to Long With base reshape (part I) Often your data set is in wide format and some sort of analysis or visualization requires putting the data set into long format. Hadely Wickham … Continue reading →
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 →
Final installment: Part III of a multi part blog on the paste2 function… In my first post on the paste2 function I promised proof of a few practical uses. In Part II of this series we looked at using paste2 … Continue reading →
This is Part II of a multi part blog on the paste2 function… In my first post on the paste2 function I promised a proof of a few practical uses. The first example I have comes from psychometrics and comes out of … Continue reading →
This is Part I of a multi part blog on the paste2 function… I recently generated a new paste function that takes an unspecified list of equal length variables (a column) or multiple columns of a data frame and pastes … Continue reading →
As a contributor at talkstats.com one of the most often seen topics of posters’ questions is that of Likert data. The problem with these questions is there generally is no “correct” answer. The field has been debating the treatment of Likert … Continue reading →
I love to benchmark. Maybe I’m a bit weird but I love to bench everything in R. Recently I’ve had people raise accuracy challenges to the typical system.time and rbenchmark package approaches to benchmarking. I saw Hadley Wickham promoting the … Continue reading →
