Compute Randomly Drawn F Density in R Programming – rf() Function Improve Improve Like Article Like Save Share Report 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: # 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: # 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: Last Updated : 25 Jun, 2020 Like Article Save Article Previous Create Random Deviates of Uniform Distribution in R Programming - runif() Function Next Compute the Value of Weibull Density in R Programming - dweibull() Function Share your thoughts in the comments Add Your Comment Please Login to comment...