Compute Log Normal Probability Density in R Programming – dlnorm() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report dlnorm() function in R Language is used to compute the log normal value of the probability density function. It also creates a plot of the log normal density. Syntax: dlnorm(vec) Parameters: vec: x-values for normal density Example 1: # R program to compute # log normal probability density # Creating x-values for density x <- seq(1, 10, by = 1) # Calling dlnorm() function y <- dlnorm(x) y Output: [1] 0.398942280 0.156874019 0.072728256 0.038153457 0.021850715 0.013354538 [7] 0.008581626 0.005739296 0.003965747 0.002815902 Example 2: # R program to compute # log normal probability density # Creating x-values for density x <- seq(1, 10, by = 0.1) # Calling dlnorm() function y <- dlnorm(x) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function Share your thoughts in the comments Add Your Comment Please Login to comment...