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Compute Randomly Drawn Log Normal Density in R Programming – rlnorm() Function
  • Last Updated : 25 Jun, 2020

rlnorm() function in R Language is used to compute random log normal density among a range of inputs.

Syntax: rlnorm(N)

Parameters:
N: Sample Size

Example 1:




# R program to generate 
# random log normal density points
  
# Setting seed for
# random number generation
set.seed(1000)
  
# Set sample size
N <- 20
  
# Calling rlnorm() Function
y <- rlnorm(N)

Output:

 [1] 0.6403257 0.2994354 1.0419837 1.8953214 0.4554113 0.6801178 0.6213456
 [8] 2.0539211 0.9816646 0.2533159 0.3744010 0.5743659 1.1290552 0.8861471
[15] 0.2628844 1.1853730 1.1677499 1.0252453 0.1291752 1.2375754

Example 2:




# R program to generate 
# random log normal density points
  
# Setting seed for
# random number generation
set.seed(1000)
  
# Set sample size
N <- 500
  
# Calling rlnorm() Function
y <- rlnorm(N)
  
# Plot a graph
plot(y)

Output:

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