Compute Log Normal Probability Density in R Programming - dlnorm() Function Last Updated : 25 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like 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: Python3 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: Python3 1== # 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: Comment More infoAdvertise with us Next Article Compute Cumulative Log Normal Probability Density in R Programming - plnorm() Function N nidhi_biet Follow Improve Article Tags : R Language R-Statistics Similar Reads Compute Cumulative Log Normal Probability Density in R Programming - plnorm() Function plnorm() function in R Language is used to compute the log normal value of the cumulative probability density function. It also creates a plot of the cumulative distribution of log normal density. Syntax: plnorm(vec) Parameters: vec: x-values for normal density Example 1: Python3 1== # R program to 1 min read Compute the Logistic Density in R Programming - dlogis() Function dlogis() function in R Language is used to compute logistic density of the distribution. It also creates a plot of the density of the logistic distribution. Syntax: dlogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # logistic density # Create 1 min read Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function 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 samp 1 min read Compute the Value of Poisson Density in R Programming - dpois() Function dpois() function in R Language is used to compute the Poisson Density for a set of Integer values. It also creates a density plot of poisson distribution. Syntax: dpois(vec, lambda)Parameters: vec: Sequence of integer values lambda: Average number of events per interval Example 1: Python3 # R pro 1 min read Compute Cumulative Logistic Density in R Programming - plogis() Function plogis() function in R Language is used to compute logistic cumulative density of the distribution. It also creates a plot of the density of the logistic cumulative distribution. Syntax: plogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # cum 1 min read Perform Probability Density Analysis on t-Distribution in R Programming - dt() Function dt() function in R Language is used to return the probability density analysis on the Student t-distribution with random variable x and degree of freedom df. Syntax: dt(x, df) Parameters: x: Random Variable df: Degree of Freedom Example 1: Python3 1== # R Program to perform # Probability Density Ana 1 min read Like