This note is about attempting to remove the bias brought in by using sample standard deviation estimates to estimate an unknown true standard deviation of a population. We establish there is a bias, concentrate on why it is not important to remove it for reasonable sized samples, and (despite that) […]
R tip: first organize your tasks in terms of data, values, and desired transformation of values, not initially in terms of concrete functions or code. I know I write a lot about coding in R. But it is in the service of supporting statistics, analysis, predictive analytics, and data science. […]
seplyr is an R package that makes it easy to program over dplyr 0.7.*. To illustrate this we will work an example.
Jonathan Carroll had a an interesting R language idea: to use @-notation to request value substitution in a non-standard evaluation environment (inspired by msyql User-Defined Variables). He even picked the right image:
I want to share an edited screencast of my rehearsal for my recent San Francisco Bay Area R Users Group talk: