Compute Randomly Drawn Cauchy Density in R Programming – rcauchy() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report rcauchy() function in R Language is used to compute random cauchy density among a range of inputs. Syntax: rcauchy(N, scale) Parameters: N: Sample Size scale: Scale to plot graph Example 1: # R program to generate # random cauchy density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rcauchy() Function y <- rcauchy(N, scale = 10) y Output: [1] 16.654755 -9.459054 3.740548 -14.639724 -193.891140 2.160767 [7] -10.735449 -37.226131 8.051377 10.392275 19.616577 -9.662595 [13] 15.442965 -4.484467 -9.147612 2.330620 431.105051 -22.117519 [19] 2.730892 -37.046773 Example 2: # R program to generate # random cauchy density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 500 # Calling rcauchy() Function y <- rcauchy(N, scale = 10) # Plotting graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Get a List of Numbers in the Specified Range in R Programming - seq.int() Function Share your thoughts in the comments Add Your Comment Please Login to comment...