geom_rect_pattern() Function in R

geom_crossbar_pattern() Function in R

geom_rect_pattern() is a function in the R package ggplot2, which is used to create a rectangular pattern plot. It creates a grid of rectangles with colors or patterns to display the data. This function takes several arguments, including:

mapping: a named list that maps variables in the data to visual properties of the plot.
data: the data to be plotted.
stat: a string indicating the statistical transformation to be applied to the data before plotting
position: a string indicating the position adjustment to be applied to the layers
width: the width of the rectangles
height: the height of the rectangles
hjust: the horizontal justification of the rectangles
vjust: the vertical justification of the rectangles
angle: the angle of the rectangles
fill: the fill color of the rectangles
color: the color of the rectangles
The geom_rect_pattern() function can be used to create a variety of different plot types, such as heatmaps, mosaic plots, and trellis plots.

Example

The code starts by loading the ggplot2 and ggpattern libraries and then checking if the magick library is installed and loaded. Next, a data frame called plot_df is created, which contains the data to be plotted. The data frame has columns for the minimum and maximum values of the x and y axis, the type, the color, the orientation, and other properties of the rectangles to be plotted. After creating the data frame, a ggplot object is created and the geom_rect_pattern function from the ggpattern library is used to add rectangles to the plot. In this function, the aes argument is used to specify the x and y minimum and maximum values for each rectangle and the color, second color, and orientation of the pattern. The plot is then customized using theme_bw to set a black and white theme, labs to add a title and subtitle, and theme to increase the size of the legend key. Finally, the plot is displayed using the p object. Overall, this code creates a plot of rectangles with gradient patterns, and the rectangles are specified using the data in the plot_df data frame.

R

# Load the ggplot2 and ggpattern libraries
library(ggplot2)
library(ggpattern)
 
# Check if the magick library is installed and loaded
if (require("magick")) {
 
  # Create a data frame with the values to be plotted
  plot_df <- data.frame(
    xmin    = c(0, 10, 3),
    xmax    = c(8, 18, 4),
    ymin    = c(0, 10, 8),
    ymax    = c(5, 19, 15),
    type    = c('a', 'b', 'c'),
    colour1 = c('red', 'black', 'blue'),
    colour2 = c('black', NA, 'yellow'),
    orient  = c('horizontal', 'radial', 'vertical'),
    stringsAsFactors = FALSE
  )
 
  # Create a ggplot object and add the rectangles using the geom_rect_pattern function
  p <- ggplot(plot_df) +
    geom_rect_pattern(
      aes(
        xmin=xmin, ymin=ymin, xmax=xmax, ymax=ymax,
        # Specify the fill color using the pattern_fill argument
        pattern_fill  = I(colour1),
        # Specify the second fill color using the pattern_fill2 argument
        pattern_fill2 = I(colour2),
        # Specify the orientation of the pattern using the pattern_orientation argument
        pattern_orientation = I(orient)
      ),
      # Specify the pattern type using the pattern argument
      pattern         = 'gradient',
      # Specify the border color using the color argument
      colour          = 'black',
      # Specify the density of the pattern using the pattern_density argument
      pattern_density = 0.3,
      # Remove the solid fill color
      fill = NA
    ) +
    # Set the theme to a black and white theme
    theme_bw(18) +
    # Add a title and subtitle to the plot
    labs(
      title = "ggpattern::geom_rect_pattern()",
      subtitle = "pattern = 'gradient'"
    ) + 
    # Increase the size of the legend key
    theme(legend.key.size = unit(1.5, 'cm'))
 
  # Display the plot
  p
}

Output:

ggpattern Package in R

The ggpattern package in R is a package for creating custom and visually appealing backgrounds for ggplot2 plots. The overall article is going to cover a comprehensive introduction to the ggpattern package in R, including its features and capabilities, installation and setup, and how to use it to create various types of visual patterns and backgrounds for ggplot2 plots. The article will also showcase some examples of how ggpattern can be used by the end of this article, readers should have a good understanding of the ggplot2 package and how to use it to create custom and attractive backgrounds for their plots.

Required Modules

The following modules are required to use the ggpattern package in R:

ggplot2: The ggplot2 package is a widely used data visualization library in R and is a required dependency for the ggpattern package.
grid: The grid package is used to create the underlying graphics structure of ggplot2 plots and is also a required dependency for the ggpattern package.
gridExtra: The gridExtra package is used to combine multiple ggplot2 plots into one figure and is optional but recommended when using the ggpattern package.

R

install.packages("ggpattern")
install.packages("ggplot2")
install.packages("grid")
install.packages("gridExtra")

Note: If you find an error while running the code, make sure you also install some dependencies with the following command on Linux OS:

sudo apt-get install libmagick++-dev
sudo apt install libgdal-dev

Tags:

#R Language

geom_crossbar_pattern() Function in R

geom_rect_pattern() Function in R

Example

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ggpattern Package in R

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