Releases: coatless-rpkg/visualize
Releases · coatless-rpkg/visualize
Hotfix - "Seeing is Greek"
Hotfix - "Seeing is Refreshing"
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 insysdata.rda
with build files stored indata-raw
(#1) - Switched documentation from Rd over to
roxygen2
usingRd2roxygen
(#2)
MINOR CHANGES
- Switched
NEWS
toNEWS.md
to take advantage of Markdown formatting. (#5) - Switched
README
to useREADME.Rmd
, which generatesREADME.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:
"Supplied strict length < 2, setting inequalities to "<strict, equal to>"
inequality." - Supply 1 statistic for a bounded or tails condition now stops the program
-
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).