Package ‘ggpmisc’ focuses mainly on plot annotations. The new version adds features that I hope will be found useful.
Package documentation web site at: https://docs.r4photobiology.info/ggpmisc/
Changes from version 0.3.6 the most recent CRAN release, are:
Filtering based on 1D density
Three new statistics
stat_dens1d_labels() are 1D versions of the existing 2D functions which received a minor update.
stat_dens1d_labels(), to complement existing
stat_dens2d_labels() adding formal parameters keep.sparse and invert.selection, as available in the new 1D versions.
stat_dens2d_labels() to accept not only character strings but also functions as argument to
label.fill as the new
Table insets and their formatting
Updates to statistics
stat_fit_tb() add flexibility.
stat_fit_tb() to support renaming of terms/parameter names in the table (Suggested by Big Old Dave and Z. Lin). In addition implement selection, reordering and renaming of columns and terms/parameters using positional indexes and pattern matching of truncated names in addition to whole names. Improve formatting of small P-values.
stat_fmt_tb() to support the same expanded syntax as
Here is an example for an ANOVA table inset.
formula <- y ~ x
ggplot(PlantGrowth, aes(group, weight)) +
stat_summary(fun.data = "mean_se") +
stat_fit_tb(method = "lm",
method.args = list(formula = formula),
tb.type = "fit.anova",
tb.vars = c(Term = "term", "df", "M.S." = "meansq",
"italic(F)" = "statistic",
"italic(p)" = "p.value"),
tb.params = c("Group" = 1, "Error" = 2),
table.theme = ttheme_gtbw(parse = TRUE)) +
labs(x = "Group", y = "Dry weight of plants") +
Acknowlegement: This update was encouraged by recent questions at stackoverflow. The tag
[ggpmisc] is in use at stackoverflow for questions related to this package.
Documentation web site at http://docs.r4photobiology.info/ggpmisc/ includes all help pages, with output from all examples, and vignettes in HTML format.
NOTE: The new version of the package is on its way to CRAN.
Please raise issues concerning bugs or enhancements to this package through Bitbucket https://github.com/aphalo/ggpmisc/issues.