normal.params {bayescount} | R Documentation |
Function to calculate the equivalent values for the mean and standard deviation of a normal distribution from the mean and standard deviation of the log-normal distribution. Outputs from this function can be used with the dnorm() function, and with the normal distribution in JAGS.
normal.params(log.mean, log.sd, coeff.variation=sqrt(exp(log.sd^2)-1))
log.mean |
either a single value or vector of values for the mean of the lognormal distribution. |
log.sd |
either a single value or vector of values for the standard deviation of the lognormal distribution. Ignored if values are supplied for coeff.variation. |
coeff.variation |
either a single value or vector of values for the coefficient of dispersion. |
A list with elements representing the mean of the normal distribution, the standard deviation of the normal distribution, and the coefficient of variation.
## Not run: lmean <- 2.5 lsd <- 0.2 mean <- normal.params(lmean,lsd)[[1]] sd <- normal.params(lmean,lsd)[[2]] curve(dlnorm(x, lmean, lsd), from=0, to=25) dev.new() curve(dnorm(x, mean, sd), from=0, to=25) ## End(Not run)