Mean and Variance of the Log-Normal Distribution

Formula: \(\mu = \exp(\mu_{log} + 0.5 \cdot \sigma_{log}^2)\) \(\mathrm{Var}(X) = (\exp(\sigma_{log}^2) - 1) \cdot \exp(2\mu_{log} + \sigma_{log}^2)\)

mlnorm(meanlog, sdlog)

Arguments

meanlog

Mean on the log scale

sdlog

Standard deviation on the log scale

Value

List with mean and variance

See also

dlnorm

Examples

mlnorm(meanlog = 0, sdlog = 1)
#> $mean
#> [1] 1.65
#> 
#> $variance
#> [1] 4.67
#>