Compute Log Normal Probability Density in R Programming – dlnorm() Function

dlnorm() function in R Language is used to compute the log normal value of the probability density function. It also creates a plot of the log normal density.

Syntax: dlnorm(vec)

Parameters:
vec: x-values for normal density

Example 1:

# R program to compute
# log normal probability density

# Creating x-values for density
x <- seq(1, 10, by = 1)

# Calling dlnorm() function
y <- dlnorm(x)
y

Output:

 [1] 0.398942280 0.156874019 0.072728256 0.038153457 0.021850715 0.013354538
 [7] 0.008581626 0.005739296 0.003965747 0.002815902

Example 2:

# R program to compute
# log normal probability density

# Creating x-values for density
x <- seq(1, 10, by = 0.1)

# Calling dlnorm() function
y <- dlnorm(x)

# Plot a graph
plot(y)

Output: