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)
y |
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:
Article Tags :