Visualize Chi-squared Distribution

Generates a plot of the Chi-squared distribution with user specified parameters.

Usage

visualize.chisq(stat = 1, df = 3, 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.

df

degrees of freedom of Chi-squared 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(), dchisq().

Author

James Balamuta

Examples

# Evaluates lower tail.
visualize.chisq(stat = 1, df = 3, section = "lower")

# Evaluates bounded region.
visualize.chisq(stat = c(1,2), df = 6, section = "bounded")

# Evaluates upper tail.
visualize.chisq(stat = 1, df = 3, section = "upper")