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NHSRdatasets 1.0.0

Stable release with updated documentation to complement the datasetset added in previous versions.

• ons_uk_population_2023 thanks to Jacqueline Grout

Added vignettes for all datasets and edited existing to ensure they work with with any changes to hyperlinks or deprecated functions.

Breaking changes

Column headers for ons_uk_population_2023 moved from mixed case to lower case in line with the coding style of the package. This had been added to the package but not with a release.

Moved R scripts on how some datasets were created from the data-raw folder to vignettes.

NHSRdatasets 0.3.3

• Moved the vignette for how ONS provisionally recorded deaths to an R script available in the data-raw folder. This is also available on the Quarto NHS-R Community website and GitHub
• Noted in this version the previous addition of the dataset from AphA (with kind permission) from their CPD Survey, thanks to Fran Barton. Code detailing how the data was extracted using the httr2 package and tidied can be found in the data-raw folder [removed in later version and made into a vignette].
• Noted in this version the previous addition of the dataset from European Centre for Disease Prevention and Control for reported COVID19 infections and deaths by day and country collected on the 14th December 2020, thanks to Chris Mainey.

NHSRdatasets 0.3.0

• Added two new datasets for ‘stranded patients’ and synthetic early warning scores (NEWS), including vignettes, thanks to Gary Hutson.
• Removed Travis and added GitHub actions

NHSRdatasets 0.2.0

• Added a new ONS Mortality data set, and vignette showing its construction, thanks to Zoë Turner.
• Resaved .Rdata files as rda, using “gzip” compression.
• Other minor documentation tweaks.

NHSRdatasets 0.1.2

• Added a new NHS Accident and Emergency (A&E) dataset with vignette, thanks to Tom Jemmett.
• Typos resolved and cleaned some files.
• Added pkgdown site.

NHSRdatasets 0.1.1

• This is the first release of this collaborative package for NHS and healthcare analysts to learn or teach R. It will evolve over time as new contributions are released.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.