# Changelog

Source:`NEWS.md`

## visualize 4.3.0 - Hotfix - “Seeing is Modern”

CRAN release: 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)

### 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.”

- 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 4.0.0 - Live Update - “Seeing is Split”

## visualize 2.0.0 - Live Update - “Seeing is Believing”

## 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.