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Hinton Diagrams for 'ggplot2'
Provides a 'ggplot2' extension for drawing Hinton diagrams, a visualisation technique for numerical matrices in which the area of each square is proportional to the magnitude of the corresponding entry. For signed data, white squares indicate positive values and black squares indicate negative values on a grey background. Hinton diagrams are especially useful for visualising PCA weight matrices, correlation matrices, and transition matrices.
Colors for all
Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes cyclic and bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
R Interface to the A/B Street Transport System Simulation Software
Provides functions to convert origin-destination data,
represented as straight 'desire lines' in the 'sf' Simple Features
class system, into JSON files that can be directly imported into
A/B Street < https://www.abstreet.org>, a free and open source tool
for simulating urban transport systems and scenarios of change
The Free Algebra
The free algebra in R with non-commuting indeterminates.
Uses 'disordR' discipline
(Hankin, 2022,
Work with Open Road Traffic Casualty Data from Great Britain
Work with and download road traffic casualty data from Great
Britain. Enables access to the UK's official road safety statistics,
'STATS19'. Enables users to specify a download directory for the data,
which can be set permanently by adding `STATS19_DOWNLOAD_DIRECTORY=/path/to/a/dir`
to your `.Renviron` file, which can be opened with `usethis::edit_r_environ()`.
The data is provided as a series of `.csv` files.
This package downloads, reads-in and formats the data, making it suitable
for analysis. See the stats19 vignette for details. Data available from
1979 to 2024. See the official data series at
< https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data>.
The package is described in a paper in the Journal of Open Source Software
(Lovelace et al. 2019)
Cycle Routing and Data for Cycling Advocacy
An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (< https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
Linear, Quadratic, and Rational Optimization
Solver for linear, quadratic, and rational programs with linear, quadratic, and rational constraints. A unified interface to different R packages is provided. Optimization problems are transformed into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian minimization using package 'alabama', or by sequential quadratic programming using solver 'slsqp'. Alternatively, they can be reformulated as optimization problems with second order cone constraints and solved with package 'cccp'.
Interface Between R and the OpenStreetMap-Based Routing Service OSRM
An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See < http://project-osrm.org/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).
ROBustness in Network
Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) < https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Graphically display the (causal) effect of a continuous variable on a time-to-event outcome
using multiple different types of plots based on g-computation. Those functions
include, among others, survival area plots, survival contour plots, survival quantile plots and
3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally.
For details, see Robin Denz, Nina Timmesfeld (2023)