Profinit Plotting Theme

Help unify visual output of R analyses in the Profinit EU company. So far, there are color and fill scales for 'ggplot2', plotting theme for 'ggplot2', color palettes and utils to make the tools default choices.

Plotting 'ggplot2' Graphics in an 'XKCD' Style

Provides custom geoms and themes to create charts and graphics in the distinctive, hand-drawn 'XKCD' webcomic style using the 'ggplot2' framework. The package utilizes custom layers for jittered lines, segments, circles, and figures, and includes a theme that supports the necessary 'XKCD' font.

Publication-Quality 'ggplot2' Annotation

Annotation helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to annotate plots in a way that stays consistent with the set theme.

'ggplot2' Pattern Geoms

Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.

LCARS Aesthetic for Shiny

Provides Shiny widgets and theme that support a 'Library Computer Access/Retrieval System' (LCARS) aesthetic for Shiny apps. The package also includes functions for adding a minimal LCARS theme to static 'ggplot2' graphs. More details about LCARS can be found at < https://en.wikipedia.org/wiki/LCARS>.

Create Waterfall Charts using 'ggplot2' Simply

A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.

Create Images of Volumetric Brain Data in NIfTI Format Using 'ggplot2' Syntax

A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.

The Composer of Plots

The 'ggplot2' package provides a strong API for sequentially building up a plot, but does not concern itself with composition of multiple plots. 'patchwork' is a package that expands the API to allow for arbitrarily complex composition of plots by, among others, providing mathematical operators for combining multiple plots. Other packages that try to address this need (but with a different approach) are 'gridExtra' and 'cowplot'.

Creating Chronological Charts

Easy way to draw chronological charts from tables, aiming to include an intuitive environment for anyone new to R. Includes 'ggplot2' geoms and theme for chronological charts.

Plot Soccer Event Data

The 'ggplot2' package provides a powerful set of tools for visualising and investigating data. The 'ggsoccer' package provides a set of functions for elegantly displaying and exploring soccer event data with 'ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.