Draw Multiple Overlaid Histograms with ggplot2 Package in R
In this article, we are going to see how to draw multiple overlaid histograms with the ggplot2 package in the R programming language.
We will be drawing multiple overlaid histograms using the alpha argument of the geom_histogram() function from ggplot2 package. In this approach for drawing multiple overlaid histograms, the user first needs to install and import the ggplot2 package on the R console and call the geaom_histogram function with specifying the alpha argument of this function to a float value between 0 to 1 which will lead to the transparency of the different histogram plots on the same plot with the set of the data-frame as this function parameter to get multiple overlaid histograms in the R programming language.
geom_histogram() function: This function is an in-built function of ggplot2 module.
Syntax: geom_histogram(mapping = NULL, data = NULL, stat = “bin”, position = “stack”, …)
- mapping: The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.
- data: A layer-specific dataset – only needed if you want to override the plot defaults.
- stat: The statistical transformation to use on the data for this layer.
- position: The position adjustment to use for overlapping points on this layer
To install and import the ggplot2 package in the R console, the user needs to follow the following syntax:
The alpha argument: This is a graphical parameter is a number from 0 to 1 opaque to transparent, it adjusts the transparency of the plot.
In this example, we will be taking 2 different 100 random data set to create 2 different histograms on the single plot using the alpha argument of the geom_histogram() function from the ggplot2 package in the R programming language.
In this example, we will be taking 3 different data to create 3 different histograms on a single plot using the alpha argument of the geom_histogram() function from the ggplot2 package in the R programming language.