Search Results for "ggplot2" - Page 2

hrbrthemes is a focused ggplot2 theme package with an emphasis on typography, layout precision, and visual polish. It includes themes like theme_ipsum and Font scales tailored for clean, high‑quality production graphics.

VisuaR's main goal is to provide a set of analyses and visualizations that are often used in the analyses of amplicon sequencing data. The VisuaR workflow is based on commands from other R packages (e.g. vegan, stringr, plyr, ggplot2), as well as on custom-build scripts. It takes dada2 (https://github.com/benjjneb/dada2) files as input and generates (near-)publication ready figures as output. In addition to NMDS ordinations, cluster dendrograms and UpSet diagrams the workflow features custom scripts that calculate the percentage of singletons or shared ASVs, and visualize diversity indices, or the relative sequence abundance of clades at specific taxonomic levels. ...

The ggplot2-book repository contains the source for ggplot2: Elegant Graphics for Data Analysis, written by Hadley Wickham. The book explains the theory and application of the ggplot2 package in R for data visualization, guiding readers through its layered grammar of graphics approach. It serves as both a practical guide and conceptual reference for building advanced plots and mastering ggplot2.

bbplot is an R package developed by the BBC visual journalism team aimed at helping data journalists and analysts produce chart styles consistent with BBC aesthetics. It provides functions and themes that make it easier to adopt BBC’s visual style (fonts, colors, annotations, layout) in ggplot2 plots. The package includes helper functions for axis labels, captions, legends, branding (e.g. BBC red lines or accents), and common chart types styled for editorial presentation. It offers templates and defaults that reduce styling overhead so users can focus on data and storytelling rather than aesthetic minutiae. Because visual consistency is important in media, bbplot helps non-designers build plots that align with professional publication standards. ...

...The visualizations show “return curves” for different starting years and durations, and also illustrate the probability of losses over various time horizons. The project is centered on transparency in finance and encourages users to examine the data themselves; the code is shared in R and uses ggplot2 for plotting.

...Dependencies: python >= 2.7 version python packages: rpy2(v2.8.1), pysam(>0.8.4), pybedtools(v0.7.7) and wxpython (only for GUI form) R with following packages: gplots, ggplot2, RColorBrewer, FactoMineR, kernlab, bnlearn, igraph, fastcluster, caret and ROCR bedtools (2.16/2.17/2.25) Manual & different forms of EpiMINE can be downloaded is available under "Browse Files" section For any help, you can reach us at epimine.help@gmail.com

PKgraph, provides a graphical user interface for population pharmacokinetic model diagnosis. It is programmed in R, and uses the R packages lattice, ggplot2 for static graphics, and rggobi for interactive graphics.