ggspectra 0.3.7

Package documentation web site at:

The changes from version 0.3.6, the current CRAN release, are:


  • Track and profit from updated ‘photobiology’ (>= 0.10.4), with (>= 0.10.5) now required.
  • Use performance-optimized computation for colors from wavelengths.
  • Improve stat_wl_strip() performance by simplifying data before plotting.
  • Add support for plotting action spectra (preliminary).
  • Update y-axis scales to support scaled and normalized data.
  • Update y-scales to generate more compact axis labels and use IUPAC-recommended symbols.
  • Update x-axis- and y-axis scales to allow users to override the default label text.
  • Implement scale_y_Afr_continuous() for absorptance spectra.
  • Implement scale_y_mult_continuous() for calibration spectra.
  • Implement scale_y_Tfr_continuous() for transmittance spectra, to complement the internal and total versions earlier available.
  • Implement scale_y_A_continuous() for absorbance spectra, to complement the internal and total versions earlier available.
  • Implement scale_y_Rfr_continuous() for reflectance spectra, to complement the specular and total versions earlier available.
  • Update autoplot() methods to generate more compact axis labels (preliminary).
  • Update autoplot() methods to to natively support facets (partial).
  • Update stat_wb_box() adding parameter box.height (default behavior unchanged).

Bugs fixed

  • Fix a documentation example that stopped working because of changes to ‘ggplot2’.

Backward incompatibilities

  • Although this update should not break any code, the plots created will in some cases differ slighttly from those created with earlier versions. These changes affect the formatting of axis labels, and are readily visible.
  • Colors may differ very slightly while stat_wl_strip() draws fewer rectangles (in most cases these changes are barely visible).

NOTE: The updated package is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket at

ggpmisc 0.3.6

Package ‘ggpmisc’ focuses mainly on plot annotations. The new features added in this version required quite minor code changes but add features that I hope will be found useful.

Changes from version 0.3.5 the most recent CRAN release, are:


Annotations using NPC coordinates

NPC or native plot coordinates, are very useful for annotations. On the other hand, they are not of any use for plotting actual data. The geometries using this kind of position coordinates defined in ‘ggpmisc’ make it possible to have different annotations in the different panels when using facets. Traditional annotations in ‘ggplot2’ do not use the data, but instead take as arguments constant values for the aesthetics, and consequently add identical annotations to all panels. Annotations in ‘ggplot2’ use data coordinates. In many cases, the desired position of annotations is unrelated to the data, but instead related to the native coordinates of the plotting viewport. Using NPC coordinates for annotations allows consistent positioning, which is very important from the graphical design perspective.

Starting from version 0.3.6  ‘ggpmisc’ exports a modified definition of annotate() from ‘ggplot2’. The modification adds support of the position aesthetics npcx and npcy retaining all other functionality unaltered. As a consequence geometries "text_npc""label_npc""table_npc", "plot_npc", and "grob_npc" can now be used as the first argument to annotate(). In addition single ggplots, data frames and grobs as well as lists of such objects are accepted arguments to label.


# plot to be inset
p <- ggplot(mtcars, aes(factor(cyl), mpg, colour = factor(cyl))) +
  stat_boxplot() +
  labs(y = NULL) +
  theme_bw(9) + theme(legend.position = "none")

# main plot with p as an inset
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
  geom_point() +
  annotate("plot_npc", npcx = "left", npcy = "bottom", label = p) +
  expand_limits(y = 0, x = 0)

Tagging equations with group labels (experimental)

Starting from version 0.3.6  stat_poly_eq() supports use of grouping with equations and identifying them by using labels.  Previously use of  the color aesthetic was the only way of “linking” equations to plotted curves, which is frequently distracting or unavailable for printing. After some past failed attempts at implementing this, I recently realized that using a pseudo-aesthetic made implementation very easy and its use flexible and straightforward. The catch is that this relies on undocumented behavior of ‘ggplot2’ and will not necessarily work with future versions of ‘ggplot2’. Statistic stat_poly_eq() now copies grp.label from its input into its returned value. One can map any variable to the pseudo-aesthetic grp.label to achieve this. Values are passed to the output only if all values within the group are the same, otherwise grp.label is filled with NA. The signature of stat_poly_eq() remains unchanged.


my.formula <- y ~ x

ggplot(mtcars, aes(wt, mpg, 
                   linetype = factor(cyl), shape = factor(cyl),
                   grp.label = factor(cyl))) +
  geom_point() +
  stat_smooth(formula = my.formula, method = "lm", colour = "black") +
  stat_poly_eq(aes(label = stat(paste("bold(\"cyl\"~~", grp.label, 
                                      "*':')~~~", eq.label, sep = ""))), 
               formula = my.formula, label.x = "right", parse = TRUE) +

Marking and or labeling group centroids

The new stat_centroid() and stat_summary_xy(). stat_centroid() applies the same function to x and y and this function defaults to mean(). In the case of stat_summary_xy() the functions applied to x and y are passed as separate arguments, and they both default to simply copying their input.


Starting from version 0.3.6, statistic stat_poly_eq() can optionally generate character strings encoded in markdown suitable for geom_richtext() from package ‘ggtext’.

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 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

learnrbook 1.0.1

Package documentation web site at:

This is the first version submitted to CRAN for the book as published in the R Series.

Versions starting from 1.0.0 are for the book as published in the R Series. Earlier versions were for various partial drafts of the book, as pre-published through LeanPub. The book was published a few of weeks ago, but shipping has started in the last few days.

NOTE: The updated package is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket

photobiology 0.10.5

Package documentation web site at:

This update adds a new attribute to objects of class response_spct to enable storage of metadata to distinguish action spectra from response spectra. All other changes are tweaks to make use easier or are minor bug fixes, which do not add important new functionality.

Changes from version 0.10.4 the most recent CRAN release, are:


  • Implement attribute "response.type" to distinguish between response spectra and action spectra stored in response_spct objects.
  • Add methods setResponseType() and getResponseType().
  • Add method drop_user_cols() to remove user-defined columns from spectra.
  • Add method collect2mspct() and rename method uncollect() into uncollect2spct().
  • Add convenience function spct_metadata() to query the value of metadata attributes.
  • Revise add_attr2tb() expanding support to all metadata attributes.
  • Revise smooth_spct() methods adding new parameter wl.range.
  • Revise compare_spct() function to accept scaled and normalized spectra with a warning (instead of triggering an error).


  • Make the pre-computed color data private.
  • Revise rbindspct() to gracefully handle duplicate member names in its input.
  • Revise smooth_spct() methods to fix bug in handling of strength in "custom" method.

NOTE: The updated package is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket

Back to Top