I use generalized additive models (GAMs) in my research work. I use them a lot! Simon Wood’s mgcv package is an excellent set of software for specifying, fitting, and visualizing GAMs for very large data sets. Despite recently dabbling with brms, mgcv is still my go-to GAM package. The ...

Motivation: I created this image as part of a graduate course I audited in 2018. In short, I learned the very simple basics of working with a shapefile (.kml) in R. Otherwise, everything was done using ggplot2 and base R. It also was originally knit as an html file with tabs. ...

Every new study presents its own challenges. (I would have to say that one of the great things about being a biostatistician is the immense variety of research questions that I get to wrestle with.) Recently, I was approached by a group of researchers who wanted to evaluate an intervention. ...

It’s been a while since I shared any information about the R Consortium’s Census Working Group. Today I’d like to share an update on three... The post Update on the R Consortium Census Working Group appeared first on AriLamstein.com.

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Cassie Kozyrkov, Chief Decision Scientist at Google. Here is the podcast link. Introducing Cassie Kozyrkov Hugo: Hi there, Cassie, and welcome to DataFramed. Cassie: Hi. Thanks, Hugo. Honored to be here. Hugo: It's a great pleasure to have you ...

Introduction I introduced MCHT two weeks ago and presented it as a package for Monte Carlo and boostrap hypothesis testing. Last week, I delved into important technical details and showed how to make self-contained MCHTest objects that don’t suffer side effects from changes in the global namespace. In this ...

A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The...

If you have any basic experience with R, you probably noticed that R uses three dots ellipsis (…) to allow functions to take arguments that weren’t pre-defined or hard-coded when the function was built. Even though R beginners are usually aware of this behavior, especially due to some common functions ...

Love this! Really pleasant read and esp like how you summed Bayesian statistics up so neatly.

Introduction: The purpose of this Shiny web app is to better advise clients in residential property investments in New York City by visualizing sales and rental market trends in major areas. Check out the app HERE, and find the code HERE. Data: Sales and rental data are compiled from OneBlockOver ...

Introduction In this post, we will learn to work with string data in R using stringr. As we did in the other posts, we will use a case study to explore the various features of the stringr package. Let us begin by installing and loading stringr and a set of ...

NOTE: tweenr was released some time ago but a theft of my computer while writing the release post meant that I only just finished writing about it now. I’m very happy to once again announce a package update, as a new major version of tweenr is now on CRAN. ...

Searching for R packages is a vexing problem for both new and experienced R users. With over 13,000 packages already on CRAN, and new packages arriving at a rate of almost 200 per month, it is impossible to keep up. Package names can be almost anything, and they are rarely informative, so ...

In between client work, John and I have been busy working on our book, Practical Data Science with R, 2nd Edition. To demonstrate a toy example for the section I’m working on, I needed scatter plots of the petal and sepal dimensions of the iris data, like so: I ...