TL;DR Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny’s limits. Part 2 of a five part series on super solutions for Shiny architecture.  Why Javascript + Shiny?  Many Shiny creators had a data science background, and not ...

This post follows on from the last post on BBSRC Responsive Mode funding. Another frequent question from applicants is: “How much can I ask for?” One answer is: the same amount as successful grants. This information is freely available and can be downloaded from the UKRI website. All awarded grants ...

Spectral clustering refers to a family of algorithms that cluster eigenvectors derived from the matrix that represents the input data’s graph. An important step in this method is running the kernel function that is applied on the input data to generate a NXN similarity matrix or graph (where N ...

Getting started - SAS Engine for Rmarkdown To get started using SAS as your statistical software/data processing “engine” take a look at the following article: http://www.ssc.wisc.edu/~hemken/SASworkshops/Markdown/SASmarkdown.html. Also rea...

Getting started - SAS Engine for Rmarkdown To get started using SAS as your statistical software/data processing “engine” take a look at the following article: http://www.ssc.wisc.edu/~hemken/SASworkshops/Markdown/SASmarkdown.html. Also rea...

We are much better at handling diseases than 30 years ago. For example cancer survival rates are much higher now. The significant portion of this increase can be attributed directly to our ability to detect and diagnose cancer earlier. Also, use of insulin and other drugs to control blood glucose in ...

I had an awesome time at the Enterprise Applications of the R Language (EARL) Conference held in London in September, 2019. EARL reminded me that it is good to keep showing up at conferences. I entered and the first thing I heard was organisers at the table welcoming me “Damian is ...

Have you ever taken a survey at the doctor or for a job interview and wondered what exactly that data was used for? There is a long-standing series of methodologies, many coming from psychology, on how to reliably measure “latent” traits, such as depression or loyalty, from self-report survey data.  ...

In this tutorial, we’ll show how we used clean_anomalies() from the anomalize package to reduce forecast error by 9%. R Packages Covered: anomalize - Time series anomaly detection Cleaning Anomalies to Reduce Forecast Error by 9% We can often...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical mod...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical ...

Nuances of Bootstrapping Most applied statisticians and data scientists understand that bootstrapping is a method that mimics repeated sampling by drawing some number of new samples (with replacement) from the original sample in order to perform inference. However, it can be difficult to understand output from the software that carries ...

The easystats project continues to grow, expanding its capabilities and features, and the parameters package 0.2.0 update is now on CRAN. The primary goal of this package is to provide utilities for processing the parameters of various statistical ...

Modular R tools for Bayesian regression are provided by bamlss: From classic MCMC-based GLMs and GAMs to distributional models using the lasso or gradient boosting. Citation Umlauf N, Klein N, Simon T, Zeileis A (2019). “bamlss...

Modular R tools for Bayesian regression are provided by bamlss: From classic MCMC-based GLMs and GAMs to distributional models using the lasso or gradient boosting. Citation Umlauf N, Klein N, Simon T, Zeileis A (2019). “baml...