cowplot - Streamlined Plot Theme and Plot Annotations for 'ggplot2'

Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.

Last updated 1 months ago

18.71 score 714 stars 1.4k dependents 75k scripts 277k downloads

ggridges - Ridgeline Plots in 'ggplot2'

Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.

Last updated 2 months ago

16.98 score 416 stars 280 dependents 14k scripts 80k downloads

ggtext - Improved Text Rendering Support for 'ggplot2'

A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.

Last updated 2 years ago

15.59 score 657 stars 151 dependents 13k scripts 49k downloads

gridtext - Improved Text Rendering Support for 'Grid' Graphics

Provides support for rendering of formatted text using 'grid' graphics. Text can be formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be rendered both with and without word wrap.

Last updated 12 months ago

cpp

11.46 score 96 stars 196 dependents 314 scripts 54k downloads

sicegar - Analysis of Single-Cell Viral Growth Curves

Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle CEll Growth Analysis in R".

Last updated 4 years ago

6.57 score 9 stars 41 scripts 244 downloads