Compute the Value of F Density in R Programming - df() Function

Compute the Value of Empirical Cumulative Distribution Function in R Programming - ecdf() Function

Last Updated : 25 Jun, 2020

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:

Python3 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:

Python3 1==

# 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:

Compute the Value of F Density in R Programming - df() Function

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