Changes in version 4.5.0 (2023-11-13) CHANGES - Removed unicode to display variables and inequalities per CRAN request. - Increased the required R version to v4.0.0. - Switched deployment from Travis to GitHub Actions - Added a pkgdown website. Changes in version 4.4.0 (2020-01-08) CHANGES - Updated package structure to reflect modern practices (#9) - Switched documentation to use markdown (#9). - Improved the README.Rmd file with new examples (#10). Changes in version 4.3.0 (2017-04-27) CHANGES - 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) MINOR CHANGES - Switched NEWS to NEWS.md to take advantage of Markdown formatting. (#5) - Switched README to use README.Rmd, which generates README.md. (#4) - Added links to GitHub repository in DESCRIPTION file BUG FIX - Corrected outstanding CRAN checks related to malformed DESCRIPTION file and need to import functions (#3) Changes in version 4.2.0 - 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! MINOR CHANGES - 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="" 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="" 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 "" inequality." - A warning is now issued when requesting tails option for a nonsymmetric distribution. BUG FIXES - 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. Changes in version 4.1.0 BUG FIX - Documentation should no longer disappear off screen. Changes in version 4.0.0 NEW - Two tail evaluations for both continuous and discrete distributions! - Highlighted shading in continuous distributions! - Start and End markers for test statistic(s) on x-axis! DOCUMENTATION - Updated visualize. functions to account for new section request. Changes in version 3.0.0 NEW - Evaluate probabilities with strict inequalities! MINOR CHANGES - Rewrote sections to increase efficiency and reliability. Changes in version 2.2.0 BUG FIX - Corrects rendering issue with supplied stat not meeting certain criteria. Changes in version 2.1.0 BUG FIXES - Corrects minor graphing labels. - Revised error handling. Changes in version 2.0.0 NEW - Support for the following Continuous Distributions: Cauchy, F, Log Normal, Logistic, T, and Wilcox. - Bar graph rendering for discrete probability distributions. MINOR CHANGES - Rewritten Distribution Wrapper Changes in version 1.0.0 NEW - 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. THANKS - 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).