Compute Randomly Drawn Log Normal Density in R Programming – rlnorm() Function Improve Improve Like Article Like Save Share 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: # 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: # 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: Last Updated : 25 Jun, 2020 Like Article Save Article Previous Compute Cauchy Density in R Programming - dcauchy() Function Next Compute value of Log Normal Quantile Function in R Programming - qlnorm() Function Share your thoughts in the comments Add Your Comment Please Login to comment...