geom_crossbar_pattern() Function in R
The geom_crossbar_pattern() is a geom in the ggpattern package that is used to create crossbar plots with color fills from an image pattern. The geom creates a bar plot with horizontal bars that extend from a lower to an upper limit. The color fill of the bars is determined by an image pattern that can be selected from a number of predefined patterns, or a custom pattern can be specified. The geom_crossbar_pattern() geom is created by specifying the ymin and ymax aesthetics to determine the lower and upper limits of the bars. The pattern_fill aesthetic is used to specify the pattern that should be used to fill the bars. The image pattern can be selected from a number of predefined patterns (e.g. “plasma”) or a custom image file can be specified. The width aesthetic can be used to specify the width of the bars.
In addition to the aesthetics, the geom_crossbar_pattern() geom also has a number of arguments that can be used to control the appearance of the plot. For example, the pattern argument can be used to specify the type of pattern to use, the width argument can be used to specify the width of the bars, and the theme argument can be used to specify the appearance of the plot.
Example
The code above creates a plot using the ggplot2 library and the ggpattern library. To use the ggpattern library, it first checks if the magick library is installed by using the require() function. If magick is installed, it proceeds to create a plot. The data used in the plot is stored in a data frame called df. The plot is created using the ggplot function, with trt and resp as the x and y variables, respectively. The plot is created using the geom_crossbar_pattern function, which is a geom provided by the ggpattern library. This function is used to create a crossbar pattern plot, where the bars are filled with a pattern rather than a solid color. The aes argument inside the geom_crossbar_pattern function specifies the aesthetic mapping of the data, such as the lower and upper limits of the bars (ymin and ymax), and the pattern fill (pattern_fill). The pattern argument is set to ‘plasma’, which specifies the type of pattern to use for the bar fills. The width argument specifies the width of the bars. The plot is further customized using the theme_bw and labs functions, which set the overall plot theme and label the plot title and subtitle, respectively. The coord_fixed function is used to set the aspect ratio of the plot.
R
#Load required packages library (ggplot2) library (ggpattern) # Check if the magick package is installed, if not install it if ( require ( "magick" )) { # Create a sample data frame df <- data.frame ( trt = factor ( c (1, 1, 2, 2)), resp = c (1, 5, 3, 4), group = factor ( c (1, 2, 1, 2)), upper = c (1.1, 5.3, 3.3, 4.2), lower = c (0.8, 4.6, 2.4, 3.6) ) # Plot the data using ggplot2 p <- ggplot (df, aes (trt, resp)) + # Add the geom_crossbar_pattern layer using the ggpattern package geom_crossbar_pattern ( aes ( ymin = lower, ymax = upper, pattern_fill = interaction (trt, group), ), pattern = 'plasma' , width = 0.2, ) + # Add a black and white theme to the plot theme_bw (18) + # Add plot labels labs ( title = "ggpattern::geom_crossbar_pattern()" , subtitle = "pattern = 'plasma'" ) + # Adjust the size of the legend key theme (legend.key.size = unit (1.5, 'cm' )) + # Fix the aspect ratio of the plot coord_fixed (ratio = 1/3) # 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