Compute Randomly Drawn F Density in R Programming - rf() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like 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: 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: Comment More infoAdvertise with us Next Article Compute Randomly Drawn F Density in R Programming - rf() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute Randomly Drawn Poisson Density in R Programming - rpois() Function rpois() function in R Language is used to compute random density for poisson distribution. Syntax: rpois(N, lambda) Parameters: N: Sample Size lambda: Average number of events per interval Example 1: Python3 # R program to compute random # Poisson Density # Setting seed for # random number generatio 1 min read Compute Randomly Drawn Cauchy Density in R Programming - rcauchy() Function rcauchy() function in R Language is used to compute random cauchy density among a range of inputs. Syntax: rcauchy(N, scale) Parameters: N: Sample Size scale: Scale to plot graph Example 1: Python3 1== # R program to generate # random cauchy density points # Setting seed for # random number generati 1 min read Compute Randomly Drawn Weibull Density in R Programming - rweibull() Function rweibull() function in R Language is used to compute random density for Weibull distribution. Syntax: rweibull(N, shape) Parameters: N: Sample Size shape: Shape Parameter Example 1: Python3 1== # R program to compute random # Weibull Density # Setting seed for # random number generation set.seed(100 1 min read Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function rlogis() function in R Language is used to compute random logistic density among a range of inputs. Syntax: rlogis(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample s 1 min read Compute Randomly Drawn Chi Square Density in R Programming - rchisq() Function rchisq() function in R Language is used to compute random chi square density for a set of values. Syntax: rchisq(N, df) Parameters: N: Sample Size df: Degree of Freedom Example 1: Python3 1== # R program to generate # random chi square density points # Setting seed for # random number generation set 1 min read Like