R

Why building Generalized Additive Models (GAMs) using the `mgcv` package is a great idea.

Summary of our use and adoption of R, and how this might help other organisations.

A lightning talk tour of why `mgcv` is awesome, including what regression models are, options for dealing with non-linear relationships, what splines are, and how we can use splines in a Generalized Additive Modle (GAM). Simon Wood's excellent `mgcv` package makes this easy to build and fit.

A five minute overview of why data.table is awesome. It's fast, indexed, and holds more data than you can with plain data.frames.

Summary of our use and adoption of R, and how this might help other organisations.

A two-hour practical workshop on regression modelling, run twice on the second day of the conference.

NHSRdatasets - a collaborative datasets package for teach and learning R in healthcare contexts

HEDfunctions, FunnelPlotR and NHSRdatasets reflections

Summary of our use and adoption of R, and how this might help other organisations.

Getting data into R One of the things I found most difficult when learning R was getting data from our SQL Servers into R to analyse. It is easy to load csv files, or pull example datasets from packages, but a little more knowledge is required to connect to external databases. I think this is a common problem for my NHS colleagues when learning R and probably for others too.