lnormal.params {bayescount} | R Documentation |

## 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, coeff.variation)`

### Arguments

`mean` |
either a single value or vector of values for the mean of the normal distribution. |

`sd` |
either a single value or vector of values for the standard deviation of the normal distribution. Ignored if values are supplied for coeff.variation. |

`coeff.variation` |
either a single value or vector of values for the coefficient of dispersion. |

### Value

A list with elements representing the mean of the lognormal distribution, the standard deviation of the lognormal distribution, and the coefficient of variation.

### See Also

### 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, col="blue")
curve(dlnorm(x, lmean, lsd), from=0, to=20, add=TRUE, col="red")
```

*bayescount*version 0.9.99-9 Index]