Changes in version 1.4.1.9000                      

                 Changes in version 1.4.1 (2023-11-23)                  

granovaGG 1.4.1

  - Change Software License to the MIT License (previously it was AGPL
    v2)
  - Update DESCRIPTION including Authors@R to reflect best practices
  - Minor behind-the-scenes housekeeping changes

granovaGG 1.4.0

MAJOR CHANGES

  - Fixed a typo on an alpha parameter in granovagg.ds that was giving
    unneeded grief. Many thanks to Jeremy Gray (@jeremycg) for raising
    the issue

  - Fix bugs related to drawing CI Band, crossbow, trails, and shadows
    in granovagg.ds

MINOR CHANGES

  - Stop importing datasets from MASS; instead put them directly in the
    package and document them locally

  - Remove calls to unit(), which will help address issues like #164

granovaGG 1.2

MINOR CHANGES

  - granovaGG now uses ggplot2 v0.92's theming system
    (https://github.com/wch/ggplot2/wiki/New-theme-system)

  - geom_rug_alt() has been removed; we use the "sides" argument of
    geom_rug instead

granovaGG 1.1

MAJOR CHANGES

  - granovaGG is compatible with both ggplot2 0.8.9 and ggplot2 0.9.0

  - granovaGG now imports most of its dependencies through a NAMESPACE
    file, so most dependent packages are no longer loaded into the
    global namespace

MINOR CHANGES

  - granovagg.ds provides printed summary output

  - granovagg.ds handles axis reversal and visual padding arguments

  - granovagg.1w provides better printed summary output, including
    linear model information

  - Users can now suppress printed squares in granovagg.1w

  - Printed squares in granovagg.1w now change color if F > F_critical;
    previously they changed color if F > 1.

granovaGG 1.0

NEW FEATURES

  - ggplot2 implementations of three of the four graphical analysis of
    variance functions:
    
      - .1w - elemental graphic for the one-way analysis of variance
        contr -
      - .elemental graphic for observing contrast effects in one-way
        analysis of
      - .variance ds - elemental graphic for dependent sample assessment

  - Since the core functions can return ggplot2 objects (or a list of
    them, in the case of .contr) you can use the extensibility of
    ggplot2's grammar of graphics to customize your plots

  - geom_rug_alt - an alternate ggplot2 geom for creating rugs whose
    tufts appear on the top and right of a graph, instead of the default
    bottom and left sides produced by geom_rug