Graph Probability Distributions with User Supplied Parameters
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
visualize R package
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.
visualize 4.3.0 - Hotfix - "Seeing is Modern"
visualize.distribution from being made on library load to
being an internal data set stored in
sysdata.rda with build files
- Switched documentation from Rd over to
NEWS.md to take advantage of Markdown formatting. (#5)
README to use
README.Rmd, which generates
- Added links to GitHub repository in
- Corrected outstanding CRAN checks related to malformed
and need to import functions (#3)
visualize 4.2.0 - Hotfix - "Seeing is Educational"
- 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
"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>"
A warning is now issued when requesting tails option for a nonsymmetric
- 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.
visualize 4.1.0 - Hotfix - "Seeing is Windowed"
- Documentation should no longer disappear off screen.
visualize 4.0.0 - Live Update - "Seeing is Split"
- 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!
- Updated visualize. functions to account for new section request.
visualize 3.0.0 - Live Update - "Seeing is Strict"
- Evaluate probabilities with strict inequalities!
- Rewrote sections to increase efficiency and reliability.
visualize 2.2.0 - Hotfix - "Seeing is Correct"
- Corrects rendering issue with supplied stat not meeting certain criteria.
visualize 2.1.0 - Hotfix - "Seeing is Off"
- Corrects minor graphing labels.
- Revised error handling.
visualize 2.0.0 - Live Update - "Seeing is Believing"
- Support for the following Continuous Distributions:
Cauchy, F, Log Normal, Logistic, T, and Wilcox.
- Bar graph rendering for discrete probability distributions.
- Rewritten Distribution Wrapper
visualize 1.0.0 - Live Update - "Seeing is Magic"
- Graph the PDF or PMF of a probability function and determine the probability
- 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).