Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like Report rlnorm() function in R Language is used to compute random log normal density among a range of inputs. Syntax: rlnorm(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random log normal density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rlnorm() Function y <- rlnorm(N) y Output: [1] 0.6403257 0.2994354 1.0419837 1.8953214 0.4554113 0.6801178 0.6213456 [8] 2.0539211 0.9816646 0.2533159 0.3744010 0.5743659 1.1290552 0.8861471 [15] 0.2628844 1.1853730 1.1677499 1.0252453 0.1291752 1.2375754 Example 2: Python3 1== # R program to generate # random log normal density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 500 # Calling rlnorm() Function y <- rlnorm(N) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function N nidhi_biet Follow Improve Article Tags : R Language R-Statistics Similar Reads 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 F Density in R Programming - rf() Function 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 sam 1 min read 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 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 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 Like