bayescount (version 0.8.2)

lnormal.params: CALCULATE THE LOG-NORMAL MEAN AND STANDARD DEVIATION USING THE NORMAL MEAN AND STANDARD DEVIATION

Description

Function to calculate the equivalent values for the mean and standard deviation of a log-normal distribution from the mean and standard deviation of the normal distribution. Outputs from this function can be used with the dlnorm() function, and with the lognormal distribution in JAGS.

Usage

lnormal.params(mean, sd)

Value

Either a vector of length 2 representing the mean of the lognormal distribution as the first element and the standard deviation of the lognormal distribution as the second element, or a matrix with column 1 as the mean and column 2 as the standard deviation.

See Also

bayescount normal.params

Examples

mean <- 10
sd <- 2
lmean <- lnormal.params(mean,sd)[1]
lsd <- lnormal.params(mean,sd)[2]

curve(dnorm(x, mean, sd), from=0, to=20)
x11()
curve(dlnorm(x, lmean, lsd), from=0, to=20)