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Freshing Up your 'ggplot2' Plots
Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Tidy Tools for Paleoenvironmental Archives
Provides a set of functions with a common framework for age-depth model management,
stratigraphic visualization, and common statistical transformations. The focus of the
package is stratigraphic visualization, for which 'ggplot2' components are provided
to reproduce the scales, geometries, facets, and theme elements commonly used in
publication-quality stratigraphic diagrams. Helpers are also provided to reproduce
the exploratory statistical summaries that are frequently included on
stratigraphic diagrams. See Dunnington et al. (2021)
KMunicate-Style Kaplan–Meier Plots
Produce Kaplan–Meier plots in the style recommended
following the KMunicate study by Morris et al. (2019)
R Templates for Reproducible Data Analyses
A collection of R Markdown templates for nicely structured, reproducible data analyses in R. The templates have embedded examples on how to write citations, footnotes, equations and use colored message/info boxes, how to cross-reference different parts/sections in the report, provide a nice table of contents (toc) with a References section and proper R session information as well as examples using DT tables and ggplot2 graphs. The bookdown Lite template theme supports code folding.
Hacks for 'ggplot2'
A 'ggplot2' extension that does a variety of little helpful things. The package extends 'ggplot2' facets through customisation, by setting individual scales per panel, resizing panels and providing nested facets. Also allows multiple colour and fill scales per plot. Also hosts a smaller collection of stats, geoms and axis guides.
Graphs for Correspondence Analysis
Readable, complete and pretty graphs for correspondence analysis made with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful informations at mouse hover. The interest is not mainly visual but statistical: it helps the reader to keep in mind the data contained in the cross-table or Burt table while reading the correspondence analysis, thus preventing over-interpretation. Most graphs are made with 'ggplot2', which means that you can use the + syntax to manually add as many graphical pieces you want, or change theme elements. 3D graphs are made with 'plotly'.
Manage Branding and Accessibility of R Projects
A tool for building projects that are visually consistent, accessible, and easy to maintain. It provides functions for managing branding assets, applying organization-wide themes using 'brand.yml', and setting up new projects with accessibility features and correct branding. It supports 'quarto', 'shiny', and 'rmarkdown' projects, and integrates with 'ggplot2'. The accessibility features are based on the Web Content Accessibility Guidelines < https://www.w3.org/WAI/WCAG22/quickref/?versions=2.1> and Accessible Rich Internet Applications (ARIA) specifications < https://www.w3.org/WAI/ARIA/apg/>. The branding framework implements the 'brand.yml' specification < https://posit-dev.github.io/brand-yml/>.
Retrieve Time Series Data from 'Banco de España'
Tools for retrieving 'Banco de España' ('BdE') time series data as 'tibble' objects from bulk CSV files and the 'Statistics web service (API)'. Bulk CSV functions use stable 'BdE' sequential numbers, while API functions use API series codes. Catalog functions support discovery and local caching. Plotting helpers provide 'ggplot2' palettes, scales and themes. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system alongside the European Central Bank. This package is not sponsored, endorsed or administered by 'Banco de España'.
Style Time Series Plots Like the Wall Street Journal
Easily override the default visual choices in 'ggplot2' to make your time series plots look more like the Wall Street Journal. Specific theme design choices include omitting x-axis grid lines and displaying sparse light grey y-axis grid lines. Additionally, this allows to label the y-axis scales with your units only displayed on the top-most number, while also removing the bottom most number (unless specifically overridden). The goal is visual simplicity, because who has time to waste looking at a cluttered graph?
A Grammar of Data Manipulation
A fast, consistent tool for working with data frame like objects, both in memory and out of memory.