Functions to Create Publication-Quality Plots
Create ideal labels and values for a given numeric vector (detects log...
Creates a colour gradient
Create one or more covariate bars
Make a barplot
Make a boxplot
Create Colourkey
Generate a dendrogram
Make a density plot
Make a dotmap with coloured background
Make a gif
Make a heatmap
Make a hexagonally binned plot
Make a histogram
Make a lollipopplot
Make a Manhattan plot
Joins plots together
Joins plots together
Make a polygonplot
Make a quantile-quantile plot of two samples
Create the confidence bands for a one-sample qq plot
Make a quantile-quantile plot of a sample
Make a scatterplot
Make a segplot
Make a strip-plot
Make a violin plot
Critical Value for Kolmogorov-Smirnov Test
Provides default colour schemes.
Function to display R colors, as well as corresponding R grey colours.
Utility function to display statistical result in a plot
Distance Matrix Computation
Based on predefined colour schemes, returns a vector of corresponding ...
Generates alternative default tick mark locations for create.densitypl...
Correlation Key
Calculate a correlation and its statistical significance
Get operating system specific default properties
Get line breaks
Generate a legend grob
A lattice::panel.bwplot replacement that fixes colouring issues
Return standard PCAWG colour palettes.
Use scientific notation in plots
Display the available colour palettes
Divide strings into groups of thousands
Writes Metadata
Simplifies plotting by standardizing and centralizing all output-handl...
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 <doi:10.1186/s12859-019-2610-2>.
Useful links
