# visualize.continuous: Graphing function for Continuous Distributions. In visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

## Description

Handles how continuous distributions are graphed. Users should not use this function. Instead, users should use `visualize.it`.

## Usage

 `1` ```visualize.continuous(dist, stat = c(0, 1), params, section = "lower") ```

## Arguments

 `dist` contains the distribution from `visualize.distributions`. `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. `params` A list that must contain the necessary parameters for each distribution. For example, `params = list(mu = 1, sd = 1)` would be for a normal distribution with mean 1 and standard deviation 1. If you are not aware of the parameters for the distribution, consider using the `visualize.`dist_name functions listed under the "See Also" section. `section` Select how you want the statistic(s) evaluated via `section=` either `"lower"`,`"bounded"`, `"upper"`, or`"tails"`.

## Author(s)

James Balamuta

`visualize.it`, `visualize.beta`, `visualize.chisq`, `visualize.exp`, `visualize.gamma`, `visualize.norm`, `visualize.unif`, `visualize.cauchy`*, `visualize.f`*, `visualize.lnorm`*, `visualize.t`*, `visualize.wilcox`*, `visualize.logis`*.
 ```1 2``` ```# Function does not have dist look up, must go through visualize.it visualize.it(dist='norm', stat = c(0,1), params = list(mu = 1, sd = 1), section = "bounded") ```