Compute Cumulative Log Normal Probability Density in R Programming – plnorm() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report 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: # R program to compute cumulative # log normal probability density # Creating x-values for density x <- seq(1, 10, by = 1) # Calling plnorm() function y <- plnorm(x) y Output: [1] 0.5000000 0.7558914 0.8640314 0.9171715 0.9462397 0.9634142 0.9741672 [8] 0.9812116 0.9859978 0.9893489 Example 2: # R program to compute cumulative # log normal probability density # Creating x-values for density x <- seq(1, 10, by = 0.1) # Calling plnorm() function y <- plnorm(x) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Compute value of Quantile Chi Square Density in R Programming - qchisq() Function Share your thoughts in the comments Add Your Comment Please Login to comment...