Visualize Log Normal Distribution

Generates a plot of the Log Normal distribution with user specified parameters.

Usage

visualize.lnorm(stat = 1, meanlog = 3, sdlog = 1, section = "lower")

Arguments

stat

a statistic to obtain the probability from. When using the "bounded" condition, you must supply the parameter as stat = c(lower_bound, upper_bound). Otherwise, a simple stat = desired_point will suffice.

meanlog

Mean of the distribution

sdlog

Standard deviation of the distribution

section

Select how you want the statistic(s) evaluated via section= either "lower","bounded", "upper", or"tails".

Value

Returns a plot of the distribution according to the conditions supplied.

See also

visualize.it(), dlnorm().

Author

James Balamuta

Examples

# Evaluates lower tail.
visualize.lnorm(stat = 1, meanlog = 3, sdlog = 1, section = "lower") 


# Evaluates bounded region.
visualize.lnorm(stat = c(3,5), meanlog = 3, sdlog = 3, section = "bounded") 


# Evaluates upper tail.
visualize.lnorm(stat = 1, meanlog = 3, sdlog = 1, section = "upper")