Compute Randomly Drawn Logistic Density in R Programming – rlogis() Function Improve Improve Like Article Like Save Share Report 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: # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rlogis() Function y <- rlogis(N) y Output: [1] -0.71779506 1.14636578 -2.05114837 0.80365206 0.06563317 -2.62196720 [7] 1.03929969 0.33730220 -1.29048105 -1.06622107 -0.61931410 1.12795649 [13] -0.76720400 1.86443303 1.17562774 -2.54319669 -0.02953117 0.55442681 [19] -2.37810163 0.33889069 Example 2: # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 500 # Calling rlogis() Function y <- rlogis(N) # Plot a graph plot(y) Output: Last Updated : 25 Jun, 2020 Like Article Save Article Previous Compute Cauchy Density in R Programming - dcauchy() Function Next Compute Randomly Drawn Cauchy Density in R Programming - rcauchy() Function Share your thoughts in the comments Add Your Comment Please Login to comment...