Compute Randomly Drawn Cauchy Density in R Programming - rcauchy() Function

Last Updated : 15 Jul, 2025
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: Python3 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: Python3 1== 
# 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:
Comment

Explore