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BoutrosLab.plotting.general  

Functions to Create Publication-Quality Plots
View on CRAN: Click here


Download and install BoutrosLab.plotting.general package within the R console
Install from CRAN:
install.packages("BoutrosLab.plotting.general")

Install from Github:
library("remotes")
install_github("cran/BoutrosLab.plotting.general")

Install by package version:
library("remotes")
install_version("BoutrosLab.plotting.general", "7.1.0")



Attach the package and use:
library("BoutrosLab.plotting.general")
Maintained by
Paul Boutros
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-23
Latest Update: 2023-10-28
Description:
Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 .
How to cite:
Paul Boutros (2018). BoutrosLab.plotting.general: Functions to Create Publication-Quality Plots. R package version 7.1.0, https://cran.r-project.org/web/packages/BoutrosLab.plotting.general
Previous versions and publish date:
5.9.2 (2018-04-23 10:33), 6.0.0 (2020-04-06 14:42), 6.0.1 (2020-08-05 11:52), 6.0.2 (2021-01-12 01:30), 6.0.3 (2021-01-25 12:40), 7.0.3 (2022-03-18 17:40), 7.0.5 (2023-01-06 23:20), 7.0.8 (2023-05-30 11:10), 7.0.10 (2023-10-25 01:10)
Other packages that cited BoutrosLab.plotting.general R package
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Other R packages that BoutrosLab.plotting.general depends, imports, suggests or enhances
Functions, R codes and Examples using the BoutrosLab.plotting.general R package
Some associated functions: CNA . SNV . auto.axis . colour.gradient . covariates.grob . create.barplot . create.boxplot . create.colourkey . create.dendrogram . create.densityplot . create.dotmap . create.gif . create.heatmap . create.hexbinplot . create.histogram . create.lollipopplot . create.manhattanplot . create.multipanelplot . create.multiplot . create.polygonplot . create.qqplot.comparison . create.qqplot.fit.confidence.interval . create.qqplot.fit . create.scatterplot . create.segplot . create.stripplot . create.violinplot . critical.value.ks.test . default.colours . display.colours . display.statistical.result . dist . force.colour.scheme . generate.at.final . get.corr.key . get.correlation.p.and.corr . get.defaults . get.line.breaks . legend.grob . microarray . panel.BL.bwplot . patient . pcawg.colours . scientific.notation . show.available.palettes . thousands.split . write.metadata . write.plot . 
Some associated R codes: auto.axis.R . colour.gradient.R . covariates.grob.R . create.barplot.R . create.boxplot.R . create.colourkey.R . create.dendrogram.R . create.densityplot.R . create.dotmap.R . create.gif.R . create.heatmap.R . create.hexbinplot.R . create.histogram.R . create.manhattanplot.R . create.multipanelplot.R . create.multiplot.R . create.polygonplot.R . create.qqplot.comparison.R . create.qqplot.fit.R . create.qqplot.fit.confidence.interval.R . create.scatterplot.R . create.segplot.R . create.stripplot.R . create.violinplot.R . critical.value.ks.test.R . default.colours.R . display.colours.R . display.statistical.result.R . dist.R . export.to.file.R . force.colour.scheme.R . generate.at.final.R . get.corr.key.R . get.correlation.p.and.corr.R . get.defaults.R . get.line.breaks.R . inside.auto.legend.R . legend.grob.R . parse.formula.R . pcawg.colours.R . scientific.notation.R . show.available.palettes.R . thousands.split.R . write.metadata.R . write.plot.R .  Full BoutrosLab.plotting.general package functions and examples
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