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

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

Last Updated : 25 Jun, 2020

df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution.

Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom

Example 1:

Python3 1==

# R Program to compute 
# F Density

# Creating a sequence of x-values
x <- seq(1, 30, by = 2)

# Calling df() Function
y <- df(x, df1 = 2, df2 = 3)
y

Output:

 [1] 0.2788548009 0.0641500299 0.0255826045 0.0130822015 0.0077135607
 [6] 0.0049883063 0.0034419784 0.0024918293 0.0018719698 0.0014482499
[11] 0.0011475506 0.0009274979 0.0007622781 0.0006355006 0.0005363874

Example 2:

Python3 1==

# R Program to compute 
# F Density

# Creating a sequence of x-values
x <- seq(1, 30, by = 0.2)

# Calling df() Function
y <- df(x, df1 = 3, df2 = 7)

# Plot a graph
plot(y)

Output:

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

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