Compute the Value of Empirical Cumulative Distribution Function in R Programming – ecdf() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report ecdf() function in R Language is used to compute and plot the value of Empirical Cumulative Distribution Function of a numeric vector. Syntax: ecdf(x) Parameters: x: Numeric Vector Example 1: # R Program to compute the value of # Empirical Cumulative Distribution Function # Creating a Numeric Vector x <- seq(1, 50, by = 2) # Calling ecdf() Function y <- ecdf(x) y Output: Empirical CDF Call: ecdf(x) x[1:25] = 1, 3, 5, ..., 47, 49 Example 2: # R Program to compute the value of # Empirical Cumulative Distribution Function # Creating a random vector x <- rnorm(30) # Calling ecdf() Function y <- ecdf(x) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute the Value of Geometric Quantile Function in R Programming - qgeom() Function Next Compute the Value of F Density in R Programming - df() Function Share your thoughts in the comments Add Your Comment Please Login to comment...