photobiology 0.9.16

The main changes from version 0.9.15 the previous CRAN release, are:

Revise the code for all solar-position-related calculations to improve computation speed when arguments are vectors. The returned values and their high precision remains the same as in recent versions, but when called with long vectors of times or dates, performance is orders of magnitude faster than in earlier versions. Revise documentation. Fix some minor bugs in example sensor data.

Rename color() method to color_of() to avoid name clashes. Define a function color()to maintain backwards compatibility. Define colour_of() to provide synonym for British spelling.

Documentation web site at

NOTE: The updated package is available through CRAN.

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

ggpmisc 0.2.15 (CRAN release)

Changes from the previous CRAN release 0.2.14 are:
Add stat_fit_tidy() which makes it possible to add labels or equations with estimated parameter values embedded. To build complex equations familiarity with R’s expressions as described under plotmath will be of help. This statistic supports all the types of models supported by package ‘broom’, which is used internally.

Update documentation.

NOTE: This version of the package is available through CRAN. Documentation website is at


R 3.4.0 released

R 3.4.0 was released some days ago. A compatibility update to RStudio is also available.

The repositories at this site and obviously also at CRAN now contain package binary distributions for R 3.4.x and R 3.3.x.

One major change in this release is that the JIT (just in time) compiler is enabled by default. I have not done any benchmarking yet.

I have written a page explaining how to upgrade your R installation.

The code examples in my book Learn R …as you learnt your mother tongue continue to work as expected. However not all the package updates for R 3.4.0 are yet in CRAN. In package ‘gganimate’ function gg_animate() has been renamed gganimate().

The code examples in our book R for Photobiology: Theory and recipes for common calculations run without problems. Due to recent updates to the packages in my R for Photobiology Suite, used in the book examples, fewer warnings than earlier are triggered.