The “geom_histogram” Function in R

• Package: ggplot2

• Purpose: To create histograms in ggplot.

• General Class: Geometric object for displaying the distribution of a continuous variable.

• Required Argument(s): None

• Notable Optional Arguments:

• mapping: Aesthetic mappings.

• data: The data to be displayed in this layer.

• stat: The statistical transformation to use on the data for this layer.

• position: Position adjustment.

• binwidth: Width of the bins.

• binaxis: The direction of the bins, “x” or “y”.

• center: The center of the first bin.

• boundary: A boundary between two bins.

• closed: Should the rightmost bin be closed in “right” mode?

• pad: If FALSE, overrides the default aesthetics to allow the bars to extend beyond the data.

• show.legend: Should this layer be included in the legends?

• Example:

• # Example usage
  library(ggplot2)
  
  # Create a data frame
  my_data <- data.frame(
  values = rnorm(100)
  )
  
  # Create a ggplot object with a histogram using geom_histogram
  my_plot <- ggplot(data = my_data, aes(x = values)) +
  geom_histogram(binwidth = 0.5, fill = "lightblue", color = "blue") +
  labs(title = "Histogram Example", x = "Values", y = "Frequency")
  
  # Print the plot
  print(my_plot)

• In this example, the geom_histogram function from the ggplot2 package is used to create a histogram. The function allows customization of aesthetics such as fill color, line color, and transparency. The binwidth argument controls the width of the bins in the histogram.