A collection of custom 'ggplot2'-based visualizations for data exploration and analysis. Each function handles data preprocessing and returns a object that can be further customized using standard 'ggplot2' syntax.

A collection of easy-to-use custom ggplot2-based functions for data exploration and analysis. Each function handles data preprocessing and returns a ggplot2 object that can be further customized using standard ggplot2 syntax. Includes general-purpose and domain-specific visualizations.

General:
General-purpose visualizations
gg_splitcorr() - Split-Correlation Heatmapgg_rankshift() - Paired box-/bar- plots with rank changegg_criteria() - Criteria heatmap with optional barplotsgg_conf() - Confusion/contingency table bubble plotBioinformatics:
Sequence analysis and genomics visualizations
gg_geno() - Biallelic genotype visualization with split tiles and optional barplotsgg_seq() - Sequence coverage plot with region highlightinggg_seqdiff() - Sequence alignment showing only differencesgg_biodist() - Biodistribution plots with easy free-scale facetingChemoinformatics:
Binding kinetics and drug discovery visualizations
gg_kdmap() - Kinetic rate maps (association/dissociation) with iso-affinity linesInstall from CRAN:
# currently unavailable - initial submission in progress
install.packages("ggrecipes")
Development version from GitHub:
# install.packages("devtools")
devtools::install_github("Ignophi/ggrecipes")
If you use ggrecipes in your work, please cite:
[Citation information will be added upon publication]
MIT License - see LICENSE file for details.