NEWS

visualize 4.5.0 (2023-11-13)

Switched visualize.distribution from being made on library load to being an internal data set stored in sysdata.rda with build files stored in data-raw (#1)
Switched documentation from Rd over to roxygen2 using Rd2roxygen (#2)

Corrected outstanding CRAN checks related to malformed DESCRIPTION file and need to import functions (#3)

A big thanks to Psychology Drs. Sharon Klinkenberg of the University of Amsterdam, who reported many of the bugs that were addressed in this release!

Error handling has been modified such that when improper parameters are supplied in the following scenarios the program will not render a graph and provide log out as to why the graph did not render:
- Supply 1 statistic for a bounded or tails condition now stops the program from generating a graph. In the console, the user will receive:
"Supplied stat length < 2 and section="<bounded,tails>" requires two statistics. Please resubmit with parameter stat=c(lower,upper)."
- Supply 2 statistics but do not request a bounded or tails condition now stops the program from generating a graph. In the console, users will receive:
"Supplied stat length > 1 and section="<lower,upper>" requires one statistic. Please resubmit with stat=your_test_statistic."
- Supply only 1 strict value for discrete distributions and request bounded or tails, then the strict value will apply to both ends. In the console, users will receive:
"Supplied strict length < 2, setting inequalities to "<strict, equal to>" inequality."
A warning is now issued when requesting tails option for a nonsymmetric distribution.

Area for the F distribution should now render more reliably underneath the probability density function plot.
F Distribution correctly renders F-Statistic instead of T-Statistic.
F Distribution's parameters (df1,df2) are now correctly rendered.
If a test statistic for a continuous distribution begins above or below the graph's bounds, then the graph will render without a highlighted area.
All graphs involving nonsymmertric distributions now begin on the x-axis at 0.

Support for the following Continuous Distributions: Cauchy, F, Log Normal, Logistic, T, and Wilcox.
Bar graph rendering for discrete probability distributions.

Graph the PDF or PMF of a probability function and determine the probability enclosed.
See characteristics of the distribution requested (Parameters, Mean, and Variance).
Supported Continuous Distributions: Chi-squared, beta, gamma, exponential, uniform, and normal.
Supported Discrete Distributions: Geometric, binomial, poisson, hypergeometric, and negative binomial.

Visualize was made as an independent study project to learn about creating r-packages and explore probability distributions that was approved and mentored by Statistics Professor Jeffrey A Douglas at the University of Illinois at Urbana-Champaign (UIUC).