Tag: CRAN

ggpmisc 0.3.7

Package update / R packagesLeave a comment

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 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://bitbucket.org/aphalo/ggpmisc/issues.

photobiologySensors 0.5.0

News / Package updateLeave a comment

Package documentation web site at: https://docs.r4photobiology.info/photobiologySensors/

The main changes from version 0.4.0, the current CRAN version:

New

  • Rename member spectra by prepending suppliers’ names and rebuild sensors.mspct with ‘photobiology’ (0.10.5) which is now required.
  • Add data for angular responses saved in a list of data frames named diffusers.lst.
  • Update the User Guide.

Backward incompatibilities

Code breaking because of renaming of members of the collection of sensor response spectra.

NOTE: The updated package has been submitted to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket at https://bitbucket.org/aphalo/photobiologySensors/issues

photobiologyFilters 0.5.2

Package update / R packagesLeave a comment

Package documentation web site at: https://docs.r4photobiology.info/photobiologyFilters/

The main changes from version 0.5.1, the current CRAN version, released 10 months ago are:

New

  • Add data for some Chinese absorptive filters from Yixing Purshee Optical Elements Co., Ltd.
  • Add thickness metadata for several photography filters.
  • Add reflectance data for various materials (previously contained in package ‘photobiologyReflectors’.
  • Add refraction index data.
  • Update the User Guide.

Fixed

  • Correct wrong thickness metadata in PC and PET_G sheet spectra.

Backward incompatibilities

Use of package ‘photobiologyReflectors’, which was never released through CRAN, is deprecated as the same data are now contained in ‘photobiologyFilters’ (>= 5.2).

NOTE: The updated package has been submitted to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket at https://bitbucket.org/aphalo/photobiologyfilters/issues

ggspectra 0.3.7

Package update / R packagesLeave a comment

Package documentation web site at: https://docs.r4photobiology.info/ggspectra/

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

New

  • 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 https://bitbucket.org/aphalo/ggspectra/issues