I had a similar problem recently, and then a request came through from a close friend (Chris Mainey) for the same purpose. I thought “I’ll write a blog post on this”. So, what are the benefits of creating virtual environments.” First of all. what are virtual environments: A virtual environment is a Python environment such that the Python interpreter, libraries and…
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 The following steps were used on the…
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 still one of the main…
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 help to standardise…
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 the NHS Data Dictionary 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 considered big data, it…
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: 1 2 #install.packages(data.table) library(data.table)#install.packages(data.table) library(data.table) You should now…
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 below to find out how…
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 one already available. The dlstats…
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 taking the functionality…
