Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function

Compute Randomly Drawn F Density in R Programming - rf() Function

Last Updated : 25 Jun, 2020

rf() function in R Language is used to compute random density for F Distribution.

Syntax: rf(N, df1, df2) Parameters: N: Sample Size df: Degree of Freedom

Example 1:

Python3 1==

# R Program to compute random values
# of F Density

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 20

# Calling rf() Function
y <- rf(N, df1 = 2, df2 = 3)
y

Output:

 [1]  0.2254501 19.1565944  0.1462503  0.1443822  0.5184883  0.9231497
 [7]  4.0047848  1.5749135  1.8080354  0.6584719  2.5080273  0.8327536
[13]  0.9125265  7.8437920  4.8880169  0.1858029  0.2296163 12.4537679
[19]  0.4680668 12.6245564

Example 2:

Python3 1==

# R Program to compute random values
# of F Density

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 100

# Calling rf() Function
y <- rf(N, df1 = 2, df2 = 3)

# Plot a graph
plot(y)

Output:

Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function

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