stat_density_ridges() by allowing the use of the
weight aesthetic (@joranE, #90)grid::pattern(),
grid::linearGradient(), and
grid::radialGradient() values for fill and
point_fill aesthetics by using ggplot2::fill_alpha()
(@trevorld,
#94)ggplot2::expand_scale() with
ggplot2::expansion() in vignettes to avoid deprecation
warnings in ggplot2
0.3.3 (@jthomasmock, #78)size argument in line functions with
linewidth to avoid deprecation warnings in ggplot2
0.3.4 (@jthomasmock, #78)..density.. with
ggplot2::after_stat(density) to avoid deprecation warnings
in ggplot2
0.3.4 (@jthomasmock, #78)Aus_athletes.scale_discrete_manual() has been removed from the
ggridges package, as it has been available in ggplot2 since version
3.0.0.stat_density_ridges() now has a parameter
n that determines at how many points along the x axis the
density is estimated.alpha aesthetic is now by default applied to
jittered points. If you don’t want this to happen, set
point_alpha = 1.quantile_fun = mean.geom_density_line() which is a drop-in
replacement for geom_density() but draws a ridgeline rather
than a closed polygon.theme_ridges() has been modified so that font sizes
match the cowplot themes. In particular, this means smaller axis tick
labels.theme_joy().Numerous improvements: - New stat binline that can be
used to draw histogram joyplots. - Various improvements in
stat_joy. In particular, it now works properly with
multiple panels. It also now has parameters from and
to to limit the range of density estimation, just like
density(). - Improvements in the vignettes - New geoms
geom_ridgeline_gradient and geom_joy_gradient
that can handle gradient fills.
First complete implementation ready for initial release