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.
visualize 4.4.0
- Hotfix - “Seeing is Refreshing”
CHANGES
Updated package structure to reflect modern practices (#9)
Switched documentation to use markdown (#9).
Improved the README.Rmd file with new examples
(#10).
visualize 4.3.0 -
Hotfix - “Seeing is Modern”
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 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)
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!
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=”<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:
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.
visualize 4.1.0 -
Hotfix - “Seeing is Windowed”
BUG FIX
Documentation should no longer disappear off screen.
visualize 4.0.0
- Live Update - “Seeing is Split”
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.
visualize
3.0.0 - Live Update - “Seeing is Strict”
NEW
Evaluate probabilities with strict inequalities!
MINOR CHANGES
Rewrote sections to increase efficiency and reliability.
visualize 2.2.0 -
Hotfix - “Seeing is Correct”
BUG FIX
Corrects rendering issue with supplied stat not meeting certain
criteria.
visualize 2.1.0 -
Hotfix - “Seeing is Off”
BUG FIXES
Corrects minor graphing labels.
Revised error handling.
visualize
2.0.0 - Live Update - “Seeing is Believing”
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
visualize 1.0.0
- Live Update - “Seeing is Magic”
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).