visualize-package: visualize: Graph Probability Distributions with User Supplied...

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

visualize: Graph Probability Distributions with User Supplied Parameters and Statistics

Description

Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, upper tail, and two tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.

Author(s)

Maintainer: James Balamuta [e-mail] (ORCID) [copyright holder]

See Also

Useful links:

• https://github.com/coatless-rpkg/visualize

• https://thecoatlessprofessor.com/projects/visualize/

• https://r-pkg.thecoatlessprofessor.com/visualize/

• Report bugs at https://github.com/coatless-rpkg/visualize/issues

Examples

## visualize.it acts as the general wrapper.
## For guided application of visualize, see the visualize.distr_name list.
# Binomial distribution evaluated at lower tail.
visualize.it(dist = 'binom', stat = 2, params = list(size = 4,prob = .5),
             section ="lower", strict = TRUE)
visualize.binom(stat = 2, size = 4, prob =.5, section ="lower", strict = TRUE)

# Set to shade inbetween a bounded region.
visualize.it(dist = 'norm', stat = c(-1, 1), list(mu = 0, sd = 1), section="bounded")
visualize.norm(stat = c(-1, 1), mu = 0, sd = 1, section ="bounded")

# Gamma distribution evaluated at upper tail.
visualize.it(dist = 'gamma', stat = 2, params = list(alpha = 2, theta = 1), section="upper")
visualize.gamma(stat = 2, alpha = 2, theta = 1, section="upper")

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