ggformula 0.6.2

• Improved scoping of gf_ functions makes it easier to work with data in the global environment.
• New functions gf_props() and gf_percents() added to simplify creating bar graphs on a proportion or percent scale.
• New arguments xlab, ylab, title, subtitle, and caption added to gf_ functions. In the case of gf_props() and gf_percents() these are prepopulated with defaults of “proportion” and “percent” to give nicer labeling of the plot.
• The use of weatherData has been removed since that package is no longer on CRAN
• Improvements to gf_abline(), gf_hline(), and gf_vline() expand the usable portion of the API.
• Additional examples for some functions.

ggformula 0.6.1

Minor update primarily to support vignette data sets moving from StatisticalModeling to mosaicModel.

• Also added gf_fitdistr().

ggformula 0.6.0

Mostly minor changes:

• Improved documentation of gf_ functions.
• na.warn() is now re-exported.
• Bug fix in gf_violin().
• Reformatted quick help messages.

ggformula 0.5.0

For version 0.5, the internals of ggformula have been largely redesigned to allow implementation of some new features. The new version relies much less on string parsing.

• Some important changes to formula parsing include
  • attribute:value and attribute::expression are no longer supported within the main formula.
  • In exchange, things like gf_point(1:10 ~ 1:10) work, making it simpler to create on the fly plots without having to build a data frame first.
  • y ~ 1 is equivalent to ~ y in functions that allow the ~ y formula shape. Example: gf_histogram(age ~ 1) and gf_histogram( ~ age) are equivalent
• Some new functions have been added
  • gf_dist() can plot distributions
  • gf_dhistogram() plots density histograms by default
  • gf_ash() creates ASH plots

• df_stats() has been improved to handle one-sided formulas better.

• Secondary layers are now able to inherit both data and formula-defined attributes from the primary layer. Use inherit = FALSE if you don’t want inheritance. (A few functions have inherit = FALSE as their default because it seems unlikely that inheriting will be desireable.)

ggformula 0.4.0

Version 0.4.0 constitutes a stable beta release. Changes to the API are still possible, but more likely future changes will focus on expansion of the suite of functions supplied, changes to the internal implementation, and improved documentation.

• Separated ggformula from statisticalModeling.
• Added support for many more geoms.
• Improved parsing of formulas. This is still a bit clunky since the order of operations in R formulas does not match what we would prefer in this package.
• data may now be an expression (like data = KidsFeet %>% filter(sex == "G"))
• Added support for geoms that have different required aesthetics.
• Added support for functions that allow more than one formula shape. Example: gf_histogram() accepts formulas with shape ~ x or y ~ x. This makes it possible to create density histograms with gf_histogram().
• Parntheses now halt parsing of formulas. This allows for on-the-fly computations in formulas. Typically these computed expressions must be within parentheses to avoid formula expansion.
• Use :: to indicate mapping aesthetics. (: will autodetect, but only if the value is the name of a variable in the data set.) This should be considered experimental.
• Added wrappers gf_lims(), gf_labs(), gf_theme(), gf_facet_grid(), gf_facet_wrap()
• Added gf_refine() which can be used to pass by chaining anything that would have been “added” in `ggplot2
• Expanded and improved vignette describing use of the package.
• Added two tutorials.
• Added “quick help” for plotting functions.
• Added gf_lm(), which is gf_smooth() with method = "lm"
• Added gf_dens() which is gf_line() with stat = "density".