Compute the Logistic Density in R Programming - dlogis() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like 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: Python3 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: Python3 1== # 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: Comment More infoAdvertise with us Next Article Compute the Logistic Density in R Programming - dlogis() Function N nidhi_biet Follow Improve Article Tags : R Language R-Statistics Similar Reads 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 the Value of F Density in R Programming - df() Function df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution. Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # F Density # Cr 1 min read Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function rlogis() function in R Language is used to compute random logistic density among a range of inputs. Syntax: rlogis(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample s 1 min read Compute the Negative Binomial Density in R Programming - dnbinom() Function dnbinom() function in R Language is used to compute the value of negative binomial density. It also creates a plot of the negative binomial density. Syntax: dnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability Example 1: Python3 1== # 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 Like