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:

### New

#### Filtering based on 1D density

Three new statistics `stat_dens1d_filter()`

, `stat_dens1d_filter_g()`

and `stat_dens1d_labels()`

are 1D versions of the existing 2D functions which received a minor update.

- Add
`stat_dens1d_filter()`

,`stat_dens1d_filter_g()`

and`stat_dens1d_labels()`

, to complement existing`stat_dens2d_filter()`

,`stat_dens2d_filter_g()`

and`stat_dens2d_labels()`

. - Update
`stat_dens2d_filter()`

,`stat_dens2d_filter_g()`

and`stat_dens2d_labels()`

adding formal parameters keep.sparse and invert.selection, as available in the new 1D versions. - Update
`stat_dens2d_labels()`

to accept not only character strings but also functions as argument to`label.fill`

as the new`stat_dens1d_labels()`

does.

#### Table insets and their formatting

Updates to statistics `stat_fmt_tb()`

and `stat_fit_tb()`

add flexibility.

- Update
`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. - Update
`stat_fmt_tb()`

to support the same expanded syntax as`stat_fit_tb()`

.

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") + theme_classic()

**Acknowlegement:** This update was encouraged by recent questions at stack**overflow**. The tag `[ggpmisc]`

is in use at stack**overflow** 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.