In the R world, lme4 is a great package for mixed model estimation, and the most widely used for such models.  For standard settings, few tools will do the trick as easily or as quickly, and because of that, its approach has been emulated in other packages and statistical programs.  However, that ease and efficiency […]

If you use R, there’s a decent chance you are already familiar with using Rmarkdown files and the knitr package to create reports documenting your analyses. A lesser known but equally useful function distributed with the knitr package is spin, which gives you the power of Rmarkdown directly from an R script. This is especially […]

Geostatistics models continuous variation over geographical space. It is widely used for spatial interpolation. We will use R and ArcGIS to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. Depending on the interests of the participants, the workshop will […]

Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google and Apple (the creators of Android and iOS, respectively) confirmed a combined total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a […]

Mobile app development is one of the biggest new industries of the last decade. If you are developing an app in Android for the first time, the first option you will likely find is "Android Studio," a free integrated-developer-environment (IDE) provided directly by the Android team at Google, using the Java programming language. It's a […]