Documentation web site at http://docs.r4photobiology.info/ggpp/ includes all help pages, with output from all examples, vignettes as well as a changelog in HTML format.
Overview
The initial implementation and user interface of three apply statistics first introduced in ‘ggpmisc’ 0.3.6 has been revised to expand their usefulness and to make them less error-prone, while the
fourth one is now defunct.
Changes compared to ‘ggpp’ 0.4.1
Enhancements
- Update
stat_apply_group()
to support summary functions likequantile()
that return vectors with more than one value but shorter than the original number of observations. - Update
stat_summary_xy()
andstat_apply_group()
to returnNA
x
and/ory
when.fun.x
or.fun.y
are not passed anargument. This is a code breaking change with respect to the previous (unstable) version. - Update
stat_summary_xy()
andstat_centroid()
to support functions that return a one row data frame, like those defined in ‘ggplot2’ to be passed as argument to parameterfun.data
ofggplot2::stat_summary()
, such asmean_se
,mean_cl_boot
, etc.
Bugs fixed
- Fix bug in
stat_centroid()
,stat_summary_xy()
andstat_apply_group()
resulting in the return of a long data frame withNA
values instead of a data frame with fewer rows. - Remove
stat_apply_panel()
, as it was redundant. (Grouping can be modified per layer when needed.)
Warning
The default argument for geom
in stat_centroid()
is likely to change in the near future. Otherwise, the three statistics can be considered now stable.
Please raise issues concerning bugs or enhancements to this package through GitHub at https://github.com/aphalo/ggpp/issues. Pull requests are also welcome.
NOTE: The updated ‘ggpp’ (0.4.2) is on its way to CRAN. The latest development version of the package can be installed from GitHub.
remotes::install_github("aphalo/ggpp")