In my dusty GitHub repository, sitting there, was a gem of a tool for tidying the outputs of a machine learning classification model into a record and row-level view for storage in databases. It has taken me time to get this to CRAN, as the dreaded closure, not subsettable, plagues ...

The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. This was the motivation, plus having them all in one location to enable you to easily find them, otherwise you would be ...

I have recently just pushed my fourth package to CRAN, I will do a separate post on this, but the FeatureTerminatoR package has been built to perform automated feature selection, utilising methods such as recursive partitioning, multicollinearity purging and other types will be built into the second version. Installing the ...

I am so excited that my package OddsPlotty has landed on CRAN. This was a package I worked on when I was doing lots of multiple comparisons of logistic regression models and wanted a way to visualise the odds ratios on a graph i.e. an odds plot. This package ...

Do you program in R and normally use DPLYR for data wrangling, manipulation or whatever term you call it? Have you heard all the hype about data.table and how this package can significantly improve the performance run time of your R scripts? Have you been meaning to get round ...

These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and ...

I have been busy learning Docker, as it was one of those things I have been putting off for a while. But, I am so glad that I did. Essentially, I have gone through all the pain so you don’t have to. Building the ML Model and creating API ...

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 ...