Other packages > Find by keyword >

stats19  

Work with Open Road Traffic Casualty Data from Great Britain
View on CRAN: Click here


Download and install stats19 package within the R console
Install from CRAN:
install.packages("stats19")

Install from Github:
library("remotes")
install_github("cran/stats19")

Install by package version:
library("remotes")
install_version("stats19", "3.3.1")



Attach the package and use:
library("stats19")
Maintained by
Robin Lovelace
[Scholar Profile | Author Map]
First Published: 2019-01-18
Latest Update: 2022-11-17
Description:
Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit of road), information about'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age). The statistics relate only to events on public roads that were reported to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these datasets. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021) <doi:10.1016/j.jth.2021.101291>, and Tait et al. (2023) <doi:10.1016/j.aap.2022.106895> for examples of how the data can be used for methodological and empirical road safety research.
How to cite:
Robin Lovelace (2019). stats19: Work with Open Road Traffic Casualty Data from Great Britain. R package version 3.3.1, https://cran.r-project.org/web/packages/stats19. Accessed 07 May. 2025.
Previous versions and publish date:
0.1.1 (2019-01-18 00:13), 0.2.0 (2019-02-15 16:00), 0.2.1 (2019-04-03 10:40), 1.0.0 (2019-07-28 10:20), 1.1.0 (2019-10-15 23:20), 1.2.0 (2020-03-03 23:40), 1.3.0 (2020-10-01 10:10), 1.4.0 (2021-03-15 12:20), 1.4.1 (2021-03-28 17:20), 1.4.3 (2021-07-21 11:00), 2.0.0 (2021-10-30 00:50), 2.0.1 (2022-11-17 13:00), 3.0.0 (2023-10-12 11:40), 3.0.2 (2023-11-05 01:50), 3.0.3 (2024-02-09 01:30), 3.1.0 (2024-08-01 12:30), 3.2.0 (2024-10-25 00:30), 3.3.0 (2025-01-13 01:30)
Other packages that cited stats19 R package
View stats19 citation profile
Other R packages that stats19 depends, imports, suggests or enhances
Complete documentation for stats19
Downloads during the last 30 days
04/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/06Downloads for stats1951015202530354045505560TrendBars

Today's Hot Picks in Authors and Packages

MLDS  
Maximum Likelihood Difference Scaling
Difference scaling is a method for scaling perceived supra-threshold differences. The package cont ...
Download / Learn more Package Citations See dependency  
funLBM  
Model-Based Co-Clustering of Functional Data
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix wher ...
Download / Learn more Package Citations See dependency  
aroma.affymetrix  
Analysis of Large Affymetrix Microarray Data Sets
A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samp ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
humanize  
Create Values for Human Consumption
An almost direct port of the 'python' 'humanize' package . Thi ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA