Compute the Logistic Density in R Programming – dlogis() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report 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: # R program to calculate # logistic density # Create a vector of x-values x <- seq(-1, 1, by = 0.1) # Calling the dlogis() function y <- dlogis(x) y Output: [1] 0.1966119 0.2055003 0.2139097 0.2217129 0.2287842 0.2350037 0.2402607 [8] 0.2444583 0.2475166 0.2493760 0.2500000 0.2493760 0.2475166 0.2444583 [15] 0.2402607 0.2350037 0.2287842 0.2217129 0.2139097 0.2055003 0.1966119 Example 2: # R program to calculate # logistic density # Create a vector of x-values x <- seq(-1, 1, by = 0.01) # Calling the dlogis() function y <- dlogis(x) # Plot the graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function Share your thoughts in the comments Add Your Comment Please Login to comment...