ggpubr: Create Easily Publication Ready Plots

Install and load ggpubr

• Install from CRAN as follow:

install.packages("ggpubr")

• Or, install the latest version from GitHub as follow:

# Install
if(!require(devtools)) install.packages("devtools")
devtools::install_github("kassambara/ggpubr")

• Load ggpubr:

library("ggpubr")

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Description: Plot one or a list of variables at once.

Contents:

• Gene expression data
• Box plots
• Violin plots
• Stripcharts and dot plots
• Density plots
• Histogram plots
• Empirical cumulative density function
• Quantile - Quantile plot

Add P-values and Significance Levels to ggplots

Description: Compute and add automatically p-values and significance levels to ggplots.

Contents:

• Methods for comparing means
• R functions to add p-values
  • compare_means()
  • stat_compare_means()
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• Compare more than two groups
• Multiple grouping variables

Perfect Scatter Plots with Correlation and Marginal Histograms

Description: Create beautiful scatter plots with correlation coefficients and marginal histograms/density.

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• Basic plots
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• Add point labels
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• Color by a continuous variable
• Add marginal plots
• Add 2d density estimation
• Application to gene expression data

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Description: Plot easily means or medians with error bars.

Contents:

• Error plots
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Description: Create histograms/density plots and highlight some key elements on the plot.

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Description: Step by step guide to combine multiple ggplots on the same page, as well as, over multiple pages.

Contents:

• Create some plots
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• Annotate the arranged figure
• Align plot panels
• Change column/row span of a plot
• Use common legend for combined ggplots
• Scatter plot with marginal density plots
• Mix table, text and ggplot2 graphs
• Insert a graphical element inside a ggplot
  • Place a table within a ggplot
  • Place a box plot within a ggplot
  • Add background image to ggplot2 graphs
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• Nested layout with ggarrange()
• Export plots

ggplot2 - Easy Way to Change Graphical Parameters

Description: Describe the function ggpar() [in ggpubr], which can be used to simply and easily customize any ggplot2-based graphs.

Contents:

• Change titles and axis labels
• Change legend position & appearance
• Change color palettes
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  • Gradient colors
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Create and Customize Multi-panel ggplots: Easy Guide to Facet

Description: split up your data by one or more variables and to visualize the subsets of the data together.

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• Facet by one grouping variables
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