The NHSDataDictionaRy package is now back on CRAN, and I am pleased as punch. This update contains the OpenSafely scraper to get data from the website for lookups developed by Ben Goldacre’s team. Why did it disappear? The package disappeared due to me taking it down for major script ...

The NHS-R community commissioned a package at the start of the year to address the need to pull lookups real time from the NHS Data Dictionary website. I thought this would be a good package, but what I have included, in addition, is the ability to scrape tables and text ...

The ConfusionTableR package has a new function. Welcome to var_impeR which takes a trained caret R model and produces a tibble and a supporting variable importance plot. How to use the new var_impeR function The code following shows how to use the new function: Training a CARET model ...

Analysing the pre-conference workshop sentiments I think back to a post I put on the NHS-R community website, but never posted on my own site, as I have been doing some textual analysis recently and referenced this post again. The driver for this package is the tm package and is ...

This week is an exciting week. Why is this? Well an addition to the NHS-R communities packages has been launched – the NHSDataDictionaRy – now on CRAN. To learn how to use this please look below. I am so excited about the launch of this package and I really think it will ...

Thanks to the NHS-R community I have had time to work on another package, due to their pledge to get more packages in R funded. A big thanks to Mohammed Amin Mohammed and all the R community team. This package utilises all the excellent lookups provided by NHS Digital and ...

I had a recent enquiry on our NHS-R community slack channel about which package is best to work with larger datasets, such as 5 million plus records, with high dimensionality. I got to thinking that the DBI and odbc packages would be best for this purpose, as this is still not ...

I will take you through step by step how to use the data.table package, and compare it with base R operations, to see the performance gains you get when using this optimised package. Load in data.table To load the package in you can follow the below instructions: #install....

I am really excited to announce my beta package and it is now available to download on GitHub. This is my third package I have managed to create. I have many more projects, tutorials and code snippets available on my GitHub site. I hope you find it useful and read ...

I have recently uploaded my first R package to the CRAN repository, it needs an additional revision, but it is now there. I wanted to know how many downloads it has had since its release on CRAN last month. I thought shall I write a package, but alas there is ...

Wednesday (20th January 2021) myself and a colleagues Andreas kicked off the first webinar of 2021 for the NHS-R Community with our look at the benefits of using reticulate for joining up R and Python. What was the webinar about? The webinar was split into two sections: The first session involved me ...

Well, what can I say? It has been a blast over the past year and a half. In my time at the company I have managed to work on a number of fascinating projects, here is a list of just some of them: Data Science Platform – this has been the ...

My current company Draper and Dash have been working on the Healthcare DSP for a number of months and we are now ready to launch. Find out what the HTN had to say: https://www.thehtn.co.uk/2020/09/15/new-health-data-science-platform-launches/ A word from D&D’s Chief Technology Officer Data Science ...

When I am doing a Machine Learning project with R it is crucial to save those precious seconds, minutes, hours in model training. To make sure you optimise your CPU and crank up the performance you will need to load in the parallel and doParallel libraries, alongside library(caret). A ...