Compute Cumulative Logistic Density in R Programming – plogis() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report 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: # R program to calculate # cumulative logistic density # Create a vector of x-values x <- seq(-1, 1, by = 0.1) # Calling the plogis() function y <- plogis(x) y Output: [1] 0.2689414 0.2890505 0.3100255 0.3318122 0.3543437 0.3775407 0.4013123 [8] 0.4255575 0.4501660 0.4750208 0.5000000 0.5249792 0.5498340 0.5744425 [15] 0.5986877 0.6224593 0.6456563 0.6681878 0.6899745 0.7109495 0.7310586 Example 2: # R program to calculate # cumulative logistic density # Create a vector of x-values x <- seq(-20, 20, by = 0.1) # Calling the plogis() function y <- plogis(x) # Plot the graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Compute value of Logistic Quantile Function in R Programming - qlogis() Function Share your thoughts in the comments Add Your Comment Please Login to comment...