ggmitji

Useful custom functions made with or for ggplot2.

Functions

• stat_summary_boxplot(): draws a boxplot without outliers in a ggplot. To calculate mean, do comparisons and other stuff, all points are taken into account (including outliers).
• stat_info_boxplot(): adds information in a ggplot boxplot about the number observations, mean, median or sd of each group.
• stat_point_boxplot(): draws a point for the mean, median, minimum, maximum or quartile values in a boxplot.
• stat_line_boxplot(): same as stat_point_boxplot(), but draws a line instead of a point.
• fill_strips_top(): allows to color the top strips of a ggplot with facets.
• fill_strips_right(): allows to color the right strips of a ggplot with facets.
• shaded_2d_venn(): creates a 2D Venn diagram with the desired highlighted areas.
• shaded_3d_venn(): creates a 3D Venn diagram with the desired highlighted areas.
• draw_polygon(): draws a polygon in several shapes (e.g. square, triangle, L-like...).
• theme_clean(): custom theme for ggplots that allows to customize almost everything from a plot.
• theme_custom(): custom theme for ggplots that allows to customize almost everything from a plot.
• theme_ggvenn(): custom theme for ggplot-based Venn diagrams, specially designed for plots made with ggvenn::ggvenn().
• remove_axis(): remove the axes of a ggplot.
• remove_x_axis(): remove the X axis of a ggplot.
• remove_y_axis(): remove the Y axis of a ggplot.
• add_border(): adds a border around the plot area of a ggplot.
• add_grid(): adds the grid in the plot area of a ggplot.
• ch_panel_bg(): changes the panel background of a ggplot.
• ch_plot_bg(): changes the plot background of a ggplot.
• rm_strips(): remove strips of a facetted ggplot.
• rm_strips_x(): remove strips from the X axis of a facetted ggplot.
• rm_strips_y(): remove strips from the Y axis of a facetted ggplot.
• ch_strips(): customize strips from a facetted ggplot.
• ch_strips_x(): customize strips from the X axis of a facetted ggplot.
• ch_strips_y(): customize strips from the Y axis of a facetted ggplot.

Requirements

ggmitji requires the following R packages:

• ggplot2 (all functions)
• magrittr (shaded_2d_venn(), shaded_3d_venn()), for the pipe (%>%).
• polyclip (shaded_2d_venn(), shaded_3d_venn())
• cowplot (fill_strips_top(), fill_strips_right())
• ggpubr (theme_custom())

Install ggmitji

To install ggmitji you have to run the following command in R:

# if not installed, install the devtools package from CRAN 
if(!require(devtools)) { install.packages("devtools") }

# install ggmitji from this Github repository 
devtools::install_github("amitjavilaventura/ggmitji")

Contributors

This package has been developed by Adrià Mitjavila Ventura. Some ideas were taken from internet forums.

If you want to contribute to this package, make a post in the issues section in this repository or fork this repository adding your code and do a pull request.

Cite

If you use this package, please cite this repository and give it a star.

Versions

• 1.0.0:

  • Initial package.

• 1.1.0:

  • Add new function: draw_polygon().
  • shaded_*d_venn(): add internal function to calculate coordinates of circles instead of relying on VennDiagram.

• 2.0.0:

  • Add new theme functions: remove_axis(), remove_x_axis(), remove_y_axis(), add_border(), add_grid(), ch_panel_bg(), ch_plot_bg().
  • shaded_*d_venn(): change cowplot::theme_nothing() for ggplot2::theme_void().
  • draw_polygon(): change cowplot::theme_nothing() for ggplot2::theme_void().
  • draw_polygon(): add internal function to calculate circle coordinates instead of relying on ggforce::geom_circle().
  • draw_polygon(): add "heart" and "diamond" as new shapes.

• 2.0.1:

  • shaded_*d_venn(): fix a bug that didn't allow to paint more than one area.

• 3.0.0:

  • Add new functions to customize the strips of a facetted ggplot: rm_strips(), rm_strips_x(), rm_strips_y(), ch_strips(), ch_strips_x(), ch_strips_y().
  • stat_info_boxplot(): add option to write the sum of the observations.

• 3.0.1:

  • Add new fill_strips*() functions.

• 4.0.0:

  • Add new function: stat_line_boxplot().

• 4.0.1:

  • Add new theme: theme_clean().