visualize.norm: Visualize Normal Distribution

In visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

Visualize Normal Distribution

Description

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

Usage

visualize.norm(stat = 1, mu = 0, sd = 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.
mu	mean of the Normal Distribution.
sd	standard deviation of the Normal Distribution.
section	Select how you want the statistic(s) evaluated via ⁠section=⁠ either "lower","bounded", "upper", or"tails".

See Also

visualize.it() , dnorm().

Examples

# Evaluates lower tail.
visualize.norm(stat = 1, mu = 4, sd = 5, section = "lower") 

# Evaluates bounded region.
visualize.norm(stat = c(3,6), mu = 5, sd = 3, section = "bounded")

# Evaluates upper tail.
visualize.norm(stat = 1, mu = 3, sd = 2, section = "upper")

visualize documentation built on Nov. 13, 2023, 5:07 p.m.