Plot CDF of Known Distribution using ggplot2 Package
To draw the same plot in the ggplot2 package library, we use the stat_function() function. The stat_function takes the expression function as a fun argument and converts the curve according to that expression in a basic ggplot2 plot.
Syntax: plot + stat_function( fun )
Parameters:
- fun: determines the function for the shape of the plot.
Here, is an example of a normal CDF plot using ggplot2.
# Embrace the Artistry of ggplot2
library(ggplot2)
# Craft a Canvas: Create a sample dataframe for upper and lower limits
sample_limit <- data.frame(x = c(-10, 10))
# Unleash the Power of Probability: Design an Elegant Cumulative Distribution Function
ggplot(sample_limit, aes(x = x)) +
stat_function(fun = pnorm, color = "skyblue", size = 2) +
# Add a Dash of Style: Customize the aesthetics for a visually appealing touch
theme_minimal() +
labs(
title = "Exquisite Cumulative Distribution Function (CDF) Plot",
x = "X-axis (Sample Values)",
y = "Cumulative Probability",
caption = "Artfully crafted with ggplot2"
)
Output:
Cumulative Distribution Function in R
Conclusion
Plotting a Cumulative Distribution Function (CDF) in R is an insightful and visually engaging way to explore the cumulative probability distribution of a dataset. Leveraging the power of the ggplot2 library, we can seamlessly create elegant and informative CDF plots. By carefully customizing aesthetics, including color, line size, and labels, we transform a standard plot into an exquisite representation of cumulative probabilities.
Plot Cumulative Distribution Function in R
In this article, we will discuss how to plot a cumulative distribution function (CDF) in the R Programming Language.
The cumulative distribution function (CDF) of a random variable evaluated at x, is the probability that x will take a value less than or equal to x. To calculate the cumulative distribution function in the R Language, we use the ecdf() function. The ecdf() function in R Language is used to compute and plot the value of the Empirical Cumulative Distribution Function of a numeric vector. The ecdf() function takes the data vector as an argument and returns the CDF data.
Syntax: ecdf( data_vector )
Parameter:
- data_vector: determines the vector that contains data for CDF calculation.
Table of Content
- Plot cumulative distribution function in base R
- Plot CDF of Known Distribution
- Plot CDF of Known Distribution using ggplot2 Package
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