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visualize

The goal of visualize is to graph the pdf or pmf and highlight 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.

Installation

You can install the released version of visualize from CRAN with:

install.packages("visualize")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("coatless/visualize")

Examples

To use visualize, load the package with:

library("visualize")

Then, construct a graph by following the visualize.dist() pattern. For example, the normal distribution can be shown with:

# Graph a standard normal distribution with a z-score of 1.96
visualize.norm(1.96)
# Change the location of the tail
visualize.norm(1.96, section = "upper")
# Create a bounded range.
visualize.norm(c(-1.96, 1.96), section = "bounded")
# Highlight both tails
visualize.norm(c(-1.96, 1.96), section = "tails")

The parameters of the distribution can also be modified. Take for example the Binomial distribution.

visualize.binom(stat = 9, size = 20, p = 0.5)
# Visualize the binominal distribution with a higher size and lower probability.
visualize.binom(stat = 9, size = 24, p = 0.25)

Discrete distributions can also handle a level of strict (<, >) or equal to (<=, >=) inequality.

# Create a strict inequality (lower < x < higher)
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(TRUE, TRUE))
# Allow for equality on either side only on the right side of the bounded region.
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(TRUE, FALSE))
# Allow for equality on either side of the inequality (lower <= x <= higher)
visualize.pois(stat = c(4, 6), lambda = 3.5, section = "bounded",
  strict = c(FALSE, FALSE))

Author

James Joseph Balamuta

Citing the visualize package

To ensure future development of the package, please cite visualize package if used during an analysis or simulation study. Citation information for the package may be acquired by using in R:

citation("visualize")

License

MIT License

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Install

install.packages('visualize')

Monthly Downloads

4,794

Version

4.5.0

License

MIT + file LICENSE

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Last Published

November 13th, 2023

Functions in visualize (4.5.0)

visualize.t

Visualize Student's t distribution
visualize.unif

Visualize Uniform Distribution
visualize.wilcox

Visualize Cauchy Distribution
visualize.cauchy

Visualize Cauchy Distribution
visualize.chisq

Visualize Chi-squared Distribution
visualize.beta

Visualize Beta Distribution
visualize.pois

Visualize Poisson Distribution
visualize.exp

Visualize Exponential Distribution
visualize-package

visualize: Graph Probability Distributions with User Supplied Parameters and Statistics
visualize.discrete

Graphing function for Discrete Distributions.
visualize.hyper

Visualize Hypergeometric Distribution
visualize.continuous

Graphing function for Continuous Distributions.
visualize.binom

Visualize Binomial Distribution
visualize.f

Visualize F distribution
visualize.geom

Visualize Geometric Distribution
visualize.gamma

Visualize Gamma Distribution
visualize.nbinom

Visualize Negative Binomial Distribution
visualize.distributions

Visualize's Supported Distributions
visualize.logis

Visualize Logistic distribution
visualize.it

Visualize's Processing Function
visualize.lnorm

Visualize Log Normal Distribution
visualize.norm

Visualize Normal Distribution