How do I plot a relative frequency histogram in R?

To plot a relative frequency histogram in R, you can use the hist() function with some modifications. Here's how you can do it:

1. Prepare your data: First, you need a dataset to work with. Let's create a sample dataset for demonstration.

data <- c(2, 2, 3, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8, 8, 9)

2. Use the hist() function with freq = FALSE: Setting freq = FALSE will plot a relative frequency histogram (density).

hist(data, freq = FALSE, main = "Relative Frequency Histogram", xlab = "Values")

- data: Your dataset.

- freq = FALSE: Specifies that you want relative frequencies (densities) on the y-axis instead of absolute frequencies.

- main: The title of the histogram.

- xlab: The label for the x-axis.

3. Customize the plot (optional): You can customize the plot further by adjusting the number of bins, adding colors, or specifying axis limits.

- To specify the number of bins:

hist(data, freq = FALSE, main = "Relative Frequency Histogram", xlab = "Values", breaks = 5)

- To add color:

hist(data, freq = FALSE, main = "Relative Frequency Histogram", xlab = "Values", col = "skyblue")

4. Complete Example:

Here's a complete example combining these elements:

# Sample data
data <- c(2, 2, 3, 4, 4, 4, 5, 5, 6, 7, 7, 8, 8, 8, 9)

# Plot relative frequency histogram with customizations
hist(data,
  freq = FALSE,
  main = "Relative Frequency Histogram",
  xlab = "Values",
  breaks = 5, # Number of bins
  col = "skyblue", # Color of the bars
  border = "black") # Border color

By following these steps, you can effectively plot a relative frequency histogram in R, giving you a visual representation of the distribution of your data in terms of relative frequencies.

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