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.
attribute:value
and attribute::expression
are no longer supported within the main formula.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 equivalentgf_dist()
can plot distributionsgf_dhistogram()
plots density histograms by defaultgf_ash()
creates ASH plotsdf_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.)
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.
ggformula
from statisticalModeling
.data
may now be an expression (like data = KidsFeet %>% filter(sex == "G")
)gf_histogram()
accepts formulas with shape ~ x
or y ~ x
. This makes it possible to create density histograms with gf_histogram()
.::
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.gf_lims()
, gf_labs()
, gf_theme()
, gf_facet_grid()
, gf_facet_wrap()
gf_refine()
which can be used to pass by chaining anything that would have been “added” in `ggplot2
gf_lm()
, which is gf_smooth()
with method = "lm"
gf_dens()
which is gf_line()
with stat = "density"
.